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Cited publications: 30
Citations: 755
h-index: 16


Pauly D, Chacana PA, Calzado EG, Brembs B, Schade R (2011): IgY technology: extraction of chicken antibodies from egg yolk by polyethylene glycol (PEG) precipitation. J Vis Exp. (51), e3084, DOI: 10.3791/3084
Citations:
  1. Bellingeri RV, Busso L, Alustiza FE, Picco NY, Molinero DP, Grosso MC, Motta CE, Vivas AB (2013): Characterization of egg yolk immunoglobulin (IgY) against enterotoxigenic Escherichia coli and evaluation of its effects on bovine intestinal cells. Afr J Microbiol Res 7(5): 398-405
  2. Dai YC, Zhang XF, Tan M, Huang P, Lei W, Fang H, Zhong W, Jiang X (2012): A dual chicken IgY against rotavirus and norovirus. Antiviral Res. doi:pii: S0166-3542(12)00291-4. 10.1016/j.antiviral.2012.12.011. [Epub ahead of print]
  3. Tan SH, Mohamedali A, Kapur A, Baker MS (2012): Ultradepletion of Human Plasma using Chicken Antibodies: A Proof of Concept study. J Proteome Res. DOI: 10.1021/pr3007182
  4. Niederstadt L, Hohn O, Dorner BG, Schade R, Bannert N. (2012): Stimulation of IgY responses in gene gun immunized laying hens by combined administration of vector DNA coding for the target antigen Botulinum toxin A1 and for avian cytokine adjuvants. J Immunol Methods. 382(1-2):58-67
  5. Niederstadt L, Schade R (2012): IgY technology: What are polyclonal avian antibodies and what can they do? BioSpektrum 18(2): 174-177
  6. Tan SH, Mohamedali A, Kapur A, Lukjanenko L, Baker MS (2012): A novel, cost-effective and efficient chicken egg IgY purification procedure. J Immunol Methods. 380(1-2):73-76
  7. Niederstadt L (2012): Herstellung von DNA induzierten mono-/polyklonalen Antikörpern, zur Schnelldetektion von hochpathogenen viralen Erregern und bioterroristisch relevanten Toxinen. PhD thesis, Freie Universität Berlin, http://www.diss.fu-berlin.de/diss/servlets/MCRFileNodeServlet/FUDISS_derivate_000000011103/Dissertation_Lars_Niederstadt.pdf
Brembs, B. (2011): Spontaneous decisions and operant conditioning in fruit flies. Behav Processes 87: 157-164
Citations:
  1. Nargeot R, Simmers J (2012): Functional Organization and Adaptability of a Decision-Making Network in Aplysia. Front Neurosci. 6:113
  2. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
Brembs, B. (2011): Towards a scientific concept of free will as a biological trait: spontaneous actions and decision-making in invertebrates. Proc. Roy. Soc. B. 278(1707): 930-939
Citations:
  1. Wong KFE, Cheng C (2013): Predictable or Not? Individuals’ Risk Decisions Do Not Necessarily Predict Their Next Ones. PLoS ONE 8(2): e56811
  2. Frith C (2013): The psychology of volition. Exp Brain Res. 2013 Jan 25. [Epub ahead of print]
  3. Lemos J (2013): Freedom, Responsibility, and Determinism: A Philosophical Dialogue. Hackett Publishing Co. ISBN-13: 978-1603849302, 120 pages
  4. Martius G, Der R, Ay N (2013): Information driven self-organization of complex robotic behaviors arXiv:1301.7473v1 [cs.RO]
  5. Radder H, Meynen G (2013): Does the brain "initiate" freely willed processes? A philosophy of science critique of Libet-type experiments and their interpretation. Theory & Psychology, 23(1): 3-21
  6. Nepomnyashchikh VA (2012): Variability in invertebrate behavior and the problem of free will. Zhurnal Obshchei Biologii 73(6): 435-441
  7. Grandpierre A, Kafatos M (2012): Biological Autonomy. Philosophy Study, 2(9): 631-649
  8. Warzecha AK, Rosner R, Grewe J (2012): Impact and sources of neuronal variability in the fly's motion vision pathway. J Physiol - Paris DOI: 10.1016/j.jphysparis.2012.10.002
  9. Rigoni D, Kühn S, Gaudino G, Sartori G, Brass M (2012): Reducing self-control by weakening belief in free will. Conscious Cogn. 21(3):1482-1490
  10. Zhang S, Si A, Pahl M (2012): Visually guided decision making in foraging honeybees. Front Neurosci. 6:88
  11. Nargeot R, Simmers J (2012): Functional Organization and Adaptability of a Decision-Making Network in Aplysia. Front Neurosci. 6:113
  12. Stamps JA, Briffa M, Biro PA (2012): Unpredictable animals: Individual differences in intraindividual variability (IIV). Anim Behav. 83(6): 1325–1334
  13. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  14. Barham JA (2012): Normativity, agency, and life. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 43(1): 92–103
  15. Miller SM, Ngo TT and van Swinderen B (2012): Attentional switching in humans and flies: rivalry in large and miniature brains. Front. Hum. Neurosci. 5:188. doi: 10.3389/fnhum.2011.00188
  16. Ansorge U, Horstmann G, Scharlau I (2011): Top-down contingent feature-specific orienting with and without awareness of the visual input. Adv. Cogn. Psych. 7(1): 108-119
  17. de Sousa JC (2011): The uncertainty of free will and agent's penal responsibility. Orbis: Revista Científica 2(3): 287-312
  18. Barham JA (2011): Teleological Realism in Biology, PhD Thesis, University of Notre Dame, USA.
  19. Mele AR (2011): Libertarianism and Human Agency. Phil Phen Res. DOI: 10.1111/j.1933-1592.2011.00529.x
  20. Schüür F, Haggard P (2011): What are self-generated actions? Conscious Cogn. 20(4): 1697-1704
  21. Koukolík F (2011): Basics of cognitive, affective and social neuroscience. VI. Free will. Prakticky Lekar 91(6): 315-320
  22. Cobbe N (2011): Interspecies Mixtures and the Status of Humanity. In: Suarez A, Huarte J (eds.) Is this cell a human being? Springer, Berlin, Heidelberg. pp129-155, DOI: 10.1007/978-3-642-20772-3_9
  23. Chittka L, Skorupski P (2011): Information processing in miniature brains. Proc. Roy. Soc. B. 278(1707): 885-888
Brembs B.; Pauly D.; Schade R.; Mendoza E.; Pflüger J.; Rybak J.; Scharff C.; Zars T. (2010): The Drosophila FoxP gene is necessary for operant self-learning: implications for the evolutionary origins of language. Soc. Neurosci. Abstr., 704.7
Citations:
  1. Scharff C, Petri J (2011): Evo-devo, deep homology and FoxP2: implications for the evolution of speech and language. Philos Trans R Soc Lond B Biol Sci. 366(1574):2124-2140
van Swinderen, B.; Brembs, B. (2010): Attention-like deficit and hyperactivity in a Drosophila memory mutant. J Neurosci. 30(3): 1003-1014
Citations:
  1. van Alphen B, van Swinderen B (2013): Drosophila strategies to study psychiatric disorders. Brain Res Bull. 92:1-11
  2. Haendel MA, Chesler EJ (2012): Lost and found in behavioral informatics. Int Rev Neurobiol. 103:1-18
  3. van Swinderen B (2012): Competing visual flicker reveals attention-like rivalry in the fly brain. Front Integr Neurosci. 6:96. doi: 10.3389/fnint.2012.00096
  4. Arena P, Patane L, Termini P (2012): Modeling attentional loop in the insect Mushroom Bodies. The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7. DOI: 10.1109/IJCNN.2012.6252833
  5. Miller SM, Ngo TT and van Swinderen B (2012): Attentional switching in humans and flies: rivalry in large and miniature brains. Front. Hum. Neurosci. 5:188. doi: 10.3389/fnhum.2011.00188
  6. Baddeley B, Graham P, Husbands P, Philippides A (2012): A Model of Ant Route Navigation Driven by Scene Familiarity. PLoS Comput Biol 8(1): e1002336. doi:10.1371/journal.pcbi.1002336
  7. Leboulle G (2012): Glutamate Neurotransmission in the Honey Bee Central Nervous System. In: Galizia CG, Eisenhardt D, Giurfa M (eds.): Honeybee Neurobiology and Behavior, a tribute to Randolf Menzel. Part 3, 171-184, DOI: 10.1007/978-94-007-2099-2_14
  8. Farris SM, Pettrey C, Daly KC (2011): A subpopulation of mushroom body intrinsic neurons is generated by protocerebral neuroblasts in the tobacco hornworm moth, Manduca sexta (Sphingidae, Lepidoptera). Arthropod Struct Dev. 40(5):395-408
  9. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  10. Lee PT, Lin HW, Chang YH, Fu TF, Dubnau J, Hirsh J, Lee T, Chiang AS (2011): Serotonin-mushroom body circuit modulating the formation of anesthesia-resistant memory in Drosophila. Proc Natl Acad Sci U S A. 108(33):13794-13799
  11. LaFerriere H, Speichinger K, Stromhaug A, Zars T (2011); The Radish Gene Reveals a Memory Component with Variable Temporal Properties. PLoS ONE 6(9): e24557
  12. Evans O, Paulk AC, van Swinderen B (2011): An Automated Paradigm for Drosophila Visual Psychophysics. PLoS ONE 6(6): e21619
  13. Farris SM (2011): Are mushroom bodies cerebellum-like structures? Arthropod Struct Dev. 40(4):368-379
  14. Sareen P, Wolf R, Heisenberg M (2011): Attracting the attention of a fly. Proc Natl Acad Sci U S A. 108(17):7230-7235
  15. van Swinderen B, Andretic R (2011): Dopamine in Drosophila: setting arousal thresholds in a miniature brain. Proc. Roy. Soc. B. 278(1707): 906-913
  16. Farris SM, Schulmeister S (2011): Parasitoidism, not sociality, is associated with the evolution of elaborate mushroom bodies in the brains of hymenopteran insects. Proc Biol Sci. 278(1707): 940-951
  17. Blackiston D, Shomrat T, Nicolas CL, Granata C, Levin M. (2010): A second-generation device for automated training and quantitative behavior analyses of molecularly-tractable model organisms. PLoS One 5(12):e14370
Colomb J.; Brembs, B. (2010): The biology of psychology: 'Simple' conditioning? Commun Integr Biol. 3(2):142-145
Citations:
  1. Scheich H, Brosch M (2013): Task-Related Activation of Auditory Cortex. Springer Handbook of Auditory Research. Cohen YE, Popper AN, Fay RR, editors Springer-Verlag. DOI:10.1007/978-1-4614-2350-8_3
  2. Nepomnyashchikh VA (2012): Variability in invertebrate behavior and the problem of free will. Zhurnal Obshchei Biologii 73(6): 435-441
  3. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
Brembs, B. (2009): The importance of being active. J. Neurogen. 23(1): 120-126.
Citations:
  1. Nepomnyashchikh VA (2013): Increases in variations in animal behavior induced by autocorrelations. Biol Bull Rev, 3(1), 49–56
  2. Chen J, Ruan XG, Dai LZ (2012): Behavior Cognition Computational Model Based on Cerebellum and Basal Ganglia Mechanism. Pattern Recognition and Artificial Intelligence 25(1): 29-36
  3. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  4. Koukolík F (2011): Basics of cognitive, affective and social neuroscience. VI. Free will. Prakticky Lekar 91(6): 315-320
  5. Ruan X-G, Chen J (2011): Operant conditioning reflex learning control scheme based on SMC and Elman network. Control and Decision. 26(9):1398-1401
Brembs, B. (2009): Mushroom bodies regulate habit formation in Drosophila. Curr Biol. 19(16): 1351–1355.
Citations:
  1. Arena P, Patané L, Stornanti V, Termini PS, Zäpf B, Strauss R (2013): Modeling the insect mushroom bodies: Application to a delayed match-to-sample task. Neur. Net. 41: 202–211. DOI: 10.1016/j.neunet.2012.11.013
  2. Parker MO, Brock AJ, Walton RT, Brennan CH (2013): The role of zebrafish (Danio rerio) in dissecting the genetics and neural circuits of executive function. Front Neural Circuits. 7:63
  3. Namiki S, Takaguchi M, Seki Y, Kazawa T, Fukushima R, Iwatsuki C, Kanzaki R (2013): Concentric zones for pheromone components in the mushroom body calyx of the moth brain. J Comp Neurol. 521(5):1073-1092
  4. Nepomnyashchikh VA (2012): Variability in invertebrate behavior and the problem of free will. Zhurnal Obshchei Biologii 73(6): 435-441
  5. Joseph RM, Heberlein U (2012): Tissue-specific activation of a single gustatory receptor produces opposing behavioral responses in Drosophila. Genetics. 192(2):521-532
  6. Shmuelof L, Huang VS, Haith AM, Delnicki RJ, Mazzoni P, Krakauer JW (2012): Overcoming motor "forgetting" through reinforcement of learned actions. J Neurosci. 32(42):14617-14621
  7. Wu Y, Ren Q, Li H, Guo A (2012): The GABAergic anterior paired lateral neurons facilitate olfactory reversal learning in Drosophila. Learn Mem. 19(10):478-486
  8. Ren Q, Li H, Wu Y, Ren J, Guo A (2012): A GABAergic inhibitory neural circuit regulates visual reversal learning in Drosophila. J Neurosci. 32(34):11524-11538
  9. Zanini D, Jallon JM, Rabinow L, Samson ML (2012): Deletion of the Drosophila neuronal gene found in neurons disrupts brain anatomy and male courtship. Genes Brain Behav. 11 (7): 819-827
  10. Zhao XL, Campos AR (2012): Insulin signalling in mushroom body neurons regulates feeding behaviour in Drosophila larvae. J Exp Biol. 215(Pt 15):2696-2702.
  11. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  12. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  13. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  14. Farris SM (2011): Are mushroom bodies cerebellum-like structures? Arthropod Struct Dev. 40(4):368-379
  15. Sorribes A, Armendariz BG, Lopez-Pigozzi D, Murga C, de Polavieja GG (2011): The Origin of Behavioral Bursts in Decision-Making Circuitry. PLoS Comput Biol 7(6): e1002075
  16. Farris SM, Schulmeister S (2010): Parasitoidism, not sociality, is associated with the evolution of elaborate mushroom bodies in the brains of hymenopteran insects. Proc Biol Sci. 278 (1707): 940-951
  17. Foucaud J, Burns JG, Mery F (2010): Use of Spatial Information and Search Strategies in a Water Maze Analog in Drosophila melanogaster. PLoS ONE 5(12): e15231
  18. Waddell S (2010): Dopamine reveals neural circuit mechanisms of fly memory. Trends Neurosci. 33(10):457-464
  19. Abramson CI, Nolf SL, Mixson TA, Well H (2010): Can Honey Bees Learn the Removal of a Stimulus as a Conditioning Cue? Ethology 116(9): 843–854
  20. Zars T (2010): Short-term memories in Drosophila are governed by general and specific genetic systems. Learn. Mem. 17: 246-251
  21. Yu C, Gupta J, Chen JF, Yin HH (2009): Genetic Deletion of A2A Adenosine Receptors in the Striatum Selectively Impairs Habit Formation. J Neurosci. 29(48):15100-15103
  22. van Swinderen, B. (2009): Fly Memory: A Mushroom Body Story in Parts. Curr Biol. 19(18): R855-R857
Brembs, B. (2008): Operant learning of Drosophila at the torque meter. J Vis Exp. 16. http://www.jove.com/details.stp?id=731 doi:10.3791/731.
Citations:
  1. Kirkerud NH, Wehmann H-N, Galizia CG and Gustav D (2013): APIS—a novel approach for conditioning honey bees. Front. Behav. Neurosci. 7:29. doi: 10.3389/fnbeh.2013.00029
  2. Miller SM, Ngo TT and van Swinderen B (2012): Attentional switching in humans and flies: rivalry in large and miniature brains. Front. Hum. Neurosci. 5:188. doi: 10.3389/fnhum.2011.00188
  3. Visvanathan K, Gianchandani YB (2011): Locomotion response of airborne, ambulatory and aquatic insects to thermal stimulation using piezoceramic microheaters. J. Micromech. Microeng. 21: 125002 (9pp)
  4. van Swinderen B, Andretic R (2011): Dopamine in Drosophila: setting arousal thresholds in a miniature brain. Proc. Roy. Soc. B. 278(1707): 906-913
  5. Masek P, Scott K (2010): Limited taste discrimination in Drosophila. Proc Natl Acad Sci U S A. 107(33):14833-14838
Brembs, B.; Plendl, W. (2008): Double dissociation of PKC and AC manipulations on operant and classical learning in Drosophila. Curr Biol. 18(15): 1168-1171.
Citations:
  1. Garren MV, Sexauer SB, Page TL (2013): Effect of Circadian Phase on Memory Acquisition and Recall: Operant Conditioning vs. Classical Conditioning. PLoS ONE 8(3): e58693
  2. Cai J, Yu R, Cheng R (2012): Autonomous navigation research for mobile robot. Proceedings of the World Congress on Intelligent Control and Automation (WCICA), art. no. 6357893, pp. 331-335
  3. Chen J, Ruan XG, Dai LZ (2012): Behavior Cognition Computational Model Based on Cerebellum and Basal Ganglia Mechanism. Pattern Recognition and Artificial Intelligence 25(1): 29-36
  4. Cai JX, Sun X, Ma HR, Wang QS (2012): Research autonomous motion control for snake robot based on bionic learning strategy. 2012 Proceedings of International IEEE Conference on Modelling, Identification & Control (ICMIC), 826-831
  5. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  6. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  7. Ueda A, Wu CF (2012): Cyclic Adenosine Monophosphate Metabolism in Synaptic Growth, Strength, and Precision: Neural and Behavioral Phenotype-Specific Counterbalancing Effects between dnc Phosphodiesterase and rut Adenylyl Cyclase Mutations. J Neurogenet. 26(1):64-81
  8. Shuai Y, Hu Y, Qin H, Campbell RA, Zhong Y (2011): Distinct molecular underpinnings of Drosophila olfactory trace conditioning. Proc Natl Acad Sci U S A. 108(50):20201-20206
  9. Ruan X-G, Chen J (2011): Operant conditioning reflex learning control scheme based on SMC and Elman network. Control and Decision. 26(9):1398-1401
  10. Kahsai L, Zars T (2011): Learning and memory in Drosophila: behavior, genetics, and neural systems. Int Rev Neurobiol. 99:139-167
  11. Ruan X, Chen J, Dai L (2011): Motor Learning Based on the Cooperation of Cerebellum and Basal Ganglia for a Self-balancing Two-wheeled Robot. Intelligent Control and Automation 2(3): 57-68
  12. Zars T (2010): Short-term memories in Drosophila are governed by general and specific genetic systems. Learn. Mem. 17: 246-251
  13. Claridge-Chang A, Roorda RD, Vrontou E, Sjulson L, Li H, Hirsh J, Miesenböck G. (2009): Writing memories with light-addressable reinforcement circuitry. Cell 139(2):405-415
  14. Lorenzetti FD, Baxter DA, Byrne JH (2008): Molecular Mechanisms Underlying a Cellular Analog of Operant Reward Learning. Neuron 59: 815-828
Brembs, B.; Christiansen, F.; Pflüger, H.J.; Duch, C. (2007): Flight initiation and maintenance deficits in flies with genetically altered biogenic amine levels. J Neurosci 27: 11122–11131.
Citations:
  1. Wosnitza A, Bockemühl T, Dübbert M, Scholz H, Büschges A. (2013): Inter-leg coordination in the control of walking speed in Drosophila. J Exp Biol. 216(Pt 3):480-491
  2. Schneider A, Ruppert M, Hendrich O, Giang T, Ogueta M, Hampel S, Vollbach M, Büschges A, Scholz H (2012): Neuronal Basis of Innate Olfactory Attraction to Ethanol in Drosophila. PLoS ONE 7(12): e52007
  3. Adamo SA (2013): Parasites: evolution's neurobiologists. J Exp Biol. 216(Pt 1):3-10. doi: 10.1242/jeb.073601.
  4. Suver MP, Mamiya A, Dickinson MH (2012): Octopamine Neurons Mediate Flight-Induced Modulation of Visual Processing in Drosophila. Curr Biol. 22(24): 2294-2302
  5. Sadaf S, Birman S, Hasan G (2012): Synaptic Activity in Serotonergic Neurons Is Required for Air-Puff Stimulated Flight in Drosophila melanogaster. PLoS ONE 7(9): e46405
  6. Herrera-Valdez MA, McKiernan EC, Berger SD, Ryglewski S, Duch C, Crook S (2012): Relating ion channel expression, bifurcation structure, and diverse firing patterns in a model of an identified motor neuron. J Comput Neurosci. 2012 Aug 11. [Epub ahead of print]
  7. Todorović D, Marković T, Prolić Z, Mihajlović S, Rauš S, Nikolić L, Janać B (2012): The influence of static magnetic field (50 mT) on development and motor behaviour of Tenebrio (Insecta, Coleoptera). Int J Radiat Biol. 89(1):44-50
  8. Selcho M, Pauls D, Jundi BE, Stocker RF, Thum AS (2012): The role of octopamine and tyramine in Drosophila larval locomotion. J Comp Neurol. 2012 May 24. doi: 10.1002/cne.23152
  9. Adamo SA (2012): Parasites - Evolution's neurobiologists. What have they learned after millions of years of evolution? Journal of Experimental Biology Symposium 2012, Tenuta Il Cicalino, Massa Marittima, Italy: 17–21 March 2012: http://jeb2012.biologists.com/PDF/Adamo.pdf
  10. Lehmann FO, Schutzner P, Wang, H (2012): Visual motion sensing and flight path control in flies. IN: Frontiers in Sensing: From Biology to Engineering. (Eds. F. Barth, P. Humphrey, M. Srinivasan) 129-141, ISBN: 978-3-211-99748-2
  11. Cossío-Bayúgar R, Miranda-Miranda E, Narváez Padilla V, Olvera-Valencia F, Reynaud E (2012): Perturbation of tyraminergic/octopaminergic function inhibits oviposition in the cattle tick Rhipicephalus (Boophilus) microplus. J Insect Physiol. 58(5):628-633
  12. Holden-Dye L, Walker RJ (2012): Report on the 12th symposium on invertebrate neurobiology held 31 August-4 September 2011 at the Balaton Limnological Research Institute of the Hungarian Academy of Sciences, Tihany, Hungary. Invert Neurosci. 12(1): 69-79
  13. Vonhoff F, Williams A, Ryglewski S, Duch C (2012): Drosophila as a Model for MECP2 Gain of Function in Neurons. PLoS ONE 7(2): e31835
  14. Banks CN, Adams ME (2011): Biogenic amines in the nervous system of the cockroach, Periplaneta americana following envenomation by the jewel wasp, Ampulex compressa. Toxicon. 59(2):320-328
  15. Pflüger HJ, Duch C (2011): Dynamic Neural Control of Insect Muscle Metabolism Related to Motor Behavior. Physiology 26:293-303
  16. Jung SN, Borst A, Haag J (2011): Flight activity alters velocity tuning of fly motion-sensitive neurons. J Neurosci. 31(25): 9231-9237
  17. Palmer CR, Kristan WB Jr. (2011): Contextual modulation of behavioral choice. Curr Opin Neurobiol. 21(4):520-526
  18. Stocker B (2011): Locust thoracic dorsal unpaired median (DUM) neurons: Differential activation and peripheral distribution of octopamine and tyramine. PhD Thesis, Freie Universität Berlin, Germany.
  19. Sinakevitch I, Mustard JA, Smith BH (2011): Distribution of the Octopamine Receptor AmOA1 in the Honey Bee Brain. PLoS ONE 6(1): e14536
  20. Longden KD, Krapp HG (2010): Octopaminergic modulation of temporal frequency coding in an identified optic flow-processing interneuron. Front. Syst. Neurosci. 4:153
  21. Yarali A, Gerber B (2010): A Neurogenetic Dissociation between Punishment-, Reward-, and Relief-Learning in Drosophila. Front Behav Neurosci. 4:189
  22. Zars T (2010): Short-term memories in Drosophila are governed by general and specific genetic systems. Learn. Mem. 17: 246-251
  23. Sitaraman D, Zars M, Zars T (2010): Place memory formation in Drosophila is independent of proper octopamine signaling. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 196(4):299-305
  24. Schnaitmann C, Vogt K, Triphan T and Tanimoto H (2010): Appetitive and aversive visual learning in freely moving Drosophila. Front. Behav. Neurosci. 4:10. doi:10.3389/fnbeh.2010.00010
  25. Maimon G, Straw AD, Dickinson MH (2010): Active flight increases the gain of visual motion processing in Drosophila. Nat Neurosci. 13(3):393-9
  26. Vierk R, Duch C, Pflüger HJ (2010): Postembryonic development of centrally generated flight motor patterns in the hawkmoth, Manduca sexta. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 196(1): 37-50
  27. Longden KD, Krapp HG (2009): State-dependent performance of optic-flow processing interneurons. J Neurophysiol. 102(6):3606-3618
  28. Huang J, Ohta H, Inoue N, Takao H, Kita T, Ozoe F, Ozoe Y (2009): Molecular cloning and pharmacological characterization of a Bombyx mori tyramine receptor selectively coupled to intracellular calcium mobilization. Insect Biochem Mol Biol. 39(11):842-849
  29. Blumenthal EM (2009): Isoform- and cell-specific function of tyrosine decarboxylase in the Drosophila Malpighian tubule. J Exp Biol. 212(Pt 23):3802-3809
  30. Hesselberg T, Lehmann FO (2009): The role of experience in flight behaviour of Drosophila. J Exp Biol. 212(Pt 20):3377-3386.
  31. Westmark S, Oliveira EE, Schmidt J (2009): Pharmacological analysis of tonic activity in motoneurons during stick insect walking. J Neurophysiol. 102(2):1049-1061
  32. Peric-Mataruga V, Mircic D, Vlahovic M, Mrdakovic M, Todorovic D, Stevanovic D, Milosevic V. (2009): Effects of ghrelin on the feeding behavior of Lymantria dispar L. (Lymantriidae) caterpillars. Appetite. 53(1): 147-150.
  33. Pirri JK, McPherson AD, Donnelly JL, Francis MM, Alkema MJ (2009): A tyramine-gated chloride channel coordinates distinct motor programs of a Caenorhabditis elegans escape response. Neuron. 62(4):526-538.
  34. Lange AB (2009): Tyramine: from octopamine precursor to neuroactive chemical in insects. Gen Comp Endocrinol. 162(1):18-26
  35. Vierk R, Pflueger HJ, Duch C (2009): Differential effects of octopamine and tyramine on the central pattern generator for Manduca flight. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 195(3): 265-277
  36. Kononenko NL, Wolfenberg H, Pflüger H-J (2009): Tyramine as an independent transmitter and a precursor of octopamine in the locust central nervous system: An immunocytochemical study. J. comp. Neurol. 512: 433-452
  37. Socha R, Kodrík D, Zemek R. (2008): Stimulatory effects of bioamines norepinephrine and dopamine on locomotion of Pyrrhocoris apterus (L.): is the adipokinetic hormone involved? Comp Biochem Physiol B Biochem Mol Biol. 151(3):305-310
  38. Duch C, Vonhoff F, Ryglewski S. (2008): Dendrite elongation and dendritic branching are affected separately by different forms of intrinsic motoneuron excitability. J Neurophysiol. 100(5):2525-2536
  39. Buhl E, Schildberger K, Stevenson PA (2008): A muscarinic cholinergic mechanism underlies activation of the central pattern generator for locust flight. J Exp Biol. 211(Pt 14):2346-57.
  40. Dierick HA. (2008): Fly fighting: octopamine modulates aggression. Curr Biol. 18(4):R161-163
  41. Vömel M, Wegener C (2008): Neuroarchitecture of Aminergic Systems in the Larval Ventral Ganglion of Drosophila melanogaster. PLoS ONE 3(3): e1848
  42. Ryglewski S (2008): Functional analysis of membrane properties in identified insect neurons: The roles of ionic currents for intracellular calcium signaling, intrinsic excitability and dendritic growth. Doctoral thesis , FU Berlin, Germany.
Maye, A.; Hsieh, C.; Sugihara, G. and Brembs, B. (2007): Order in spontaneous behavior. PLoS ONE 2(5): e443
Citations:
  1. Censi A, Straw AD, Sayaman RW, Murray RM, Dickinson MH (2013): Discriminating external and internal causes for heading changes in freely flying Drosophila. PLoS Comput Biol. 9(2):e1002891
  2. Nepomnyashchikh VA (2013): Increases in variations in animal behavior induced by autocorrelations. Biol Bull Rev, 3(1), 49–56
  3. Wong KFE, Cheng C (2013): Predictable or Not? Individuals’ Risk Decisions Do Not Necessarily Predict Their Next Ones. PLoS ONE 8(2): e56811
  4. Heisenberg, M. (2013): The Origin of Freedom in Animal Behaviour. 95–103 In: Suarez, Antoine; Adams, Peter (Eds.) Is Science Compatible with Free Will? Is Science Compatible with Free Will? Exploring Free Will and Consciousness in the Light of Quantum Physics and Neuroscience. Springer 312p ISBN 978-1-4614-5212-6
  5. Martius G, Der R, Ay N (2013): Information driven self-organization of complex robotic behaviors arXiv:1301.7473v1 [cs.RO]
  6. Libersat F, Gal R (2013): What can parasitoid wasps teach us about decision-making in insects? J Exp Biol. 216(Pt 1):47-55. doi: 10.1242/jeb.073999
  7. Warzecha AK, Rosner R, Grewe J (2013): Impact and sources of neuronal variability in the fly's motion vision pathway. J Physiol - Paris 07(1-2): 26-40. DOI: 10.1016/j.jphysparis.2012.10.002
  8. Sims DW, Humphries NE (2012): Lévy flight search patterns of marine predators not questioned: a reply to Edwards et al. arXiv:1210.2288 [q-bio.PE]
  9. Paulk A, Millard SS, van Swinderen B (2012): Vision in Drosophila: Seeing the World Through a Model's Eyes. Annu Rev Entomol. 58:313–332
  10. van Swinderen B (2012): Competing visual flicker reveals attention-like rivalry in the fly brain. Front Integr Neurosci. 6:96. doi: 10.3389/fnint.2012.00096
  11. Hartston W (2012): The Things That Nobody Knows: 501 Mysteries of Life, the Universe and Everything. Atlantic Books, ISBN-13: 978-1848878259
  12. Nurzaman SG, Matsumoto Y, Nakamura Y, Shirai K, Ishiguro H (2012): Bacteria-inspired underactuated mobile robot based on a biological fluctuation, Adapt Behav. 20(4) 225–236
  13. Koch C (2012): Consciousness: Confessions of a Romantic Reductionist. MIT Press ISBN-13: 978-0262017497
  14. Proekt A, Banavar JR, Maritan A, Pfaff DW (2012): Scale invariance in the dynamics of spontaneous behavior. Proc Natl Acad Sci U S A. 2012 Jun 7. [Epub ahead of print]
  15. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  16. Bazazi S, Bartumeus F, Hale JJ, Couzin ID (2012): Intermittent motion in desert locusts: behavioural complexity in simple environments. PLoS Comput Biol. 8(5):e1002498
  17. Magdziarz M, Metzler R, Szczotka W, Zebrowski P (2012): Correlated continuous-time random walks - Scaling limits and Langevin picture. J Stat Mech: Theor Exp. 4: P04010
  18. Humphries NE, Weimerskirch H, Queiroz N, Southall EJ, Sims DW (2012): Foraging success of biological Lévy flights recorded in situ. Proc Natl Acad Sci U S A. 109(19):7169-7174
  19. Sims DW, Humphries NE, Bradford RW, Bruce BD (2012): Lévy flight and Brownian search patterns of a free-ranging predator reflect different prey field characteristics. J Anim Ecol. 81(2):432-442
  20. Barham JA (2012): Normativity, agency, and life. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 43(1): 92–103
  21. Joseph J, Dunn FA, Stopfer M (2012): Spontaneous olfactory receptor neuron activity determines follower cell response properties. J Neurosci. 32(8):2900-2910
  22. Mandayam Nayakar CS, Omkar S, Srikanth R (2012): Libertarian free will and quantum indeterminism. arXiv:1202.4440v2
  23. Ueno T, Masuda N, Kume S, Kume K (2012); Dopamine Modulates the Rest Period Length without Perturbation of Its Power Law Distribution in Drosophila melanogaster. PLoS ONE 7(2): e32007
  24. Miller SM, Ngo TT and van Swinderen B (2012): Attentional switching in humans and flies: rivalry in large and miniature brains. Front. Hum. Neurosci. 5:188. doi: 10.3389/fnhum.2011.00188
  25. Barham JA (2011): Teleological Realism in Biology, PhD Thesis, University of Notre Dame, USA.
  26. Bendesky A, Bargmann CI (2011): Genetic contributions to behavioural diversity at the gene-environment interface. Nat Rev Genet. 12(12):809-820
  27. Rosner R, Warzecha AK (2011): Relating neuronal to behavioral performance: variability of optomotor responses in the blowfly. PLoS One. 6(10):e26886
  28. Mele AR (2011): Libertarianism and Human Agency. Phil Phen Res. DOI: 10.1111/j.1933-1592.2011.00529.x
  29. Sims DW, Humphries NE, Bradford RW, Bruce BD (2011): Lévy flight and Brownian search patterns of a free-ranging predator reflect different prey field characteristics. J Anim Ecol. 2011 Oct 17. doi: 10.1111/j.1365-2656.2011.01914.x. [Epub ahead of print]
  30. Windecker R (2011): Stochastic Artificial Neural Networks and random walks. The 2011 International Joint Conference on Neural Networks, 1134-1140
  31. He BJ (2011): Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task. J Neurosci. 31(39):13786-13795
  32. Nurzaman SG, Matsumoto Y, Nakamura Y, Koizumi S, Ishiguro H (2011): 'Yuragi'-Based Adaptive Mobile Robot Search With and Without Gradient Sensing: From Bacterial Chemotaxis to a Lévy Walk. Adv. Robot. 25(16): 2019-2037
  33. Lewejohann L, Zipser B, Sachser N (2011): "Personality" in laboratory mice used for biomedical research: A way of understanding variability? Dev Psychobiol. 53(6):624-630
  34. Hays GC, Bastian T, Doyle TK, Fossette S, Gleiss AC, Gravenor MB, Hobson VJ, Humphries NE, Lilley MK, Pade NG, Sims DW (2011): High activity and Lévy searches: jellyfish can search the water column like fish. Proc Biol Sci. 279(1728):465-473
  35. Sorribes A, Armendariz BG, Lopez-Pigozzi D, Murga C, de Polavieja GG (2011): The Origin of Behavioral Bursts in Decision-Making Circuitry. PLoS Comput Biol 7(6): e1002075
  36. Abidin ZZ, Arshad MR, Ngah UK (2011): A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application. Ind. J. Geo-Mar. Sci. 40(2): 250-266
  37. Flammang BE, Porter ME (2011): Bioinspiration: Applying Mechanical Design to Experimental Biology. Integr Comp Biol. 51 (1): 128-132
  38. Zou S, Liedo P, Altamirano-Robles L, Cruz-Enriquez J, Morice A, Ingram DK, Kaub K, Papadopoulos N, Carey JR (2011): Recording Lifetime Behavior and Movement in an Invertebrate Model. PLoS ONE 6(4): e18151.
  39. Glaser SM, Ye H, Maunder MN, MacCall AD, Fogarty MJ, Sugihara G (2011): Detecting and forecasting complex nonlinear dynamics in spatially-structured catch-per-unit-effort time series for North Pacific albacore (Thunnus alalunga). Can. J. Fish. Aquat. Sci. 68: 400–412
  40. Nurzaman SG, Matsumoto Y, Nakamura Y, Shirai K, Koizumi S, Ishiguro H. (2011): From Lévy to Brownian: a computational model based on biological fluctuation. PLoS One. 6(2):e16168
  41. Nayakar CSM, Srikanth R (2010): Quantum randomness and free will. arXiv:1011.4898v1
  42. Tang S, Juusola M (2010): Intrinsic Activity in the Fly Brain Gates Visual Information during Behavioral Choices. PLoS ONE 5(12): e14455. doi:10.1371/journal.pone.0014455
  43. Abidin ZZ, Arshad MR, Ngah UK (2010): Waypoint control of drosobots: Swarms of mini ASVs. IEEE Symposium on Industrial Electronics and Applications, art. no. 5679401, pp. 556-561
  44. Tanimura Y, Yang MC, Ottens AK, Lewis MH (2010): Development and temporal organization of repetitive behavior in an animal model. Dev Psychobiol. 52(8):813-824
  45. Gal R, Libersat F (2010): On predatory wasps and zombie cockroaches: Investigations of "free will" and spontaneous behavior in insects. Commun Integr Biol. 3(5):458-61
  46. Abidin ZZ, Ngah UK, Arshad MR, Ping OB (2010): A novel fly optimization algorithm for swarming application2010 IEEE Conference on Robotics Automation and Mechatronics (RAM) 425-428, DOI: 10.1109/RAMECH.2010.5513157
  47. Tanimura Y, Yang MC, Ottens AK, Lewis MH (2010): Development and temporal organization of repetitive behavior in an animal model. Dev Psychobiol. 2010 Jul 6. DOI: 10.1002/dev.20477
  48. Gardiner J, Overall R, Marc J (2010): The Fractal Nature of the Brain: EEG Data Suggests That the Brain Functions as a "Quantum Computer" in 5-8 Dimensions. NeuroQuantology 2: 137-141
  49. He BJ, Zempel JM, Snyder AZ, Raichle ME (2010): The temporal structures and functional significance of scale-free brain activity. Neuron. 66(3):353-369
  50. Stewart FJ, Baker DA, Webb B (2010): A model of visual-olfactory integration for odour localisation in free-flying fruit flies. J Exp Biol. 213(11):1886-1900
  51. Gal R, Libersat F (2010): A Wasp Manipulates Neuronal Activity in the Sub-Esophageal Ganglion to Decrease the Drive for Walking in Its Cockroach Prey. PLoS ONE 5(4): e10019
  52. Frye MA (2010): Multisensory systems integration for high-performance motor control in flies. Curr Opin Neurobiol. 20 (3): 347-352
  53. Hong YY, Velegol D, Chaturvedi, N, Sen, A (2010): Biomimetic behavior of synthetic particles: from microscopic randomness to macroscopic control. Phys. Chem. Chem. Phys. 12(7): 1423-1435
  54. Kagaya K, Takahata m (2010): Readiness Discharge for Spontaneous Initiation of Walking in Crayfish. J Neurosci. 30(4):1348-1362
  55. Nurzaman SG, Matsumoto Y, Nakamura Y, Koizumi S, Ishiguro H (2009): Biologically inspired adaptive mobile robot search with and without gradient sensing. Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems, St. Louis, MO, USA Pages: 142-147
  56. Remy SL (2009): How to teach a new robot new tricks-an interactive learning framework applied to service robotics. PhD Dissertation, Georgia Institute of Technology, USA
  57. Abidin ZZ, Arshad MR, Ngah UK (2009): A Survey: Animal-Inspired Metaheuristic Algorithms. 2nd Postgraduate Colloquium School of Electrical & Electronic USM, EEPC 2009, Bukit Jawi Golf Resort, 2nd November 2009
  58. Stewart FJ (2009): Modelling visual-olfactory integration in free-flying Drosophila. PhD dissertation, University of Edinburgh, UK
  59. Koch C (2009): Free Will, Physics, Biology, and the Brain. In: Understanding Complex Systems: Downward Causation and the Neurobiology of Free Will. (Springer Berlin / Heidelberg); 31-52. ISBN: 978-3-642-03204-2
  60. Bartumeus F Catalan J (2009): Optimal search behavior and classic foraging theory. J Phys A: Math Theor. 42(43): 434002
  61. Chechkin, AV, Hofmann, M,; Sokolov, IM (2009): Continuous-time random walk with correlated waiting times Phys Rev. E 80 (3): Art. No. 031112 Part 1
  62. Chow DM, Frye MA (2009): The neuro-ecology of resource localization in Drosophila: behavioral components of perception and search. Fly (Austin). 3(1):50-61
  63. Yanagawa T, Mogi K. (2009): Analysis of ongoing dynamics in neural networks. Neurosci Res. 64(2):177-184.
  64. Steven Shaviro (2009): Without Criteria: Kant, Whitehead, Deleuze, and Aesthetics (Cambridge: MIT Press).
  65. Ryser, P (2009): Creative Choice: How the Mind could Causally Affect the Brain. J Consc Stud. 16(2-3): 6-29
  66. Bartumeus F (2009): Behavioral intermittence, Lévy patterns, and randomness in animal movement. Oikos. 118(4): 488-494
  67. Krstic D, Boll W, Noll M (2009): Sensory integration regulating male courtship behavior in Drosophila. PLoS ONE. 4(2):e4457
  68. Vacariu G (2008): Epistemologicallky different worlds. Editura Universitatii din Bucuresti, ISBN 978-973-737-442-4
  69. Bartumeus F, Levin SA (2008): Fractal reorientation clocks: Linking animal behavior to statistical patterns of search. Proc Natl Acad Sci U S A. 105(49):19072-19077
  70. Dees ND, Bahar S, Moss F (2008): Stochastic resonance and the evolution of Daphnia foraging strategy. Phys. Biol. 5: 1-6
  71. Chikamoto K, Kagaya K, Takahata M (2008): Electromyographic Characterization of Walking Behavior Initiated Spontaneously in Crayfish. Zool. Sci. 25(8): 783–792
  72. Takahashi H, Horibe N, Ikegami T, Shimada M (2008): Analyzing house fly's exploration behavior with autoregression methods. J. Phys. Soc. Jpn. 77(8): 084802
  73. Schoppik D, Nagel KI, Lisberger SG (2008): Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses. Neuron 58, 248–260
  74. Meixner U (2008): New Perspectives for a Dualistic Conception of Mental Causation. J. Consc. Stud. 15(1): 17-38
  75. Artzy-Randrup Y, Bartumeus F, Mahoney J (2007): Human Random Search Strategies in a Soccer Field. Paper presented at the 2007 Complex Systems Summer School, Santa Fe.
  76. Paixão T (2007): The Stochastic Basis of Somatic Variation. Doctoral thesis, University of Porto, Portugal.
  77. Hong Y, Blackman NMK, Kopp ND, Sen A, Velegol D (2007): Chemotaxis of Nonbiological Colloidal Rods. Phys. Rev. Let. 99, 178103
  78. Niven JE (2007): Ghost in the machine? J. exp. Biol. 210(19): V
Brembs B, Hempel de Ibarra N. (2006): Different parameters support generalization and discrimination learning in Drosophila at the flight simulator. Learn Mem. 13(5): 629-637
Citations:
  1. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  2. Casimir MJ (2009): On the Origin and Evolution of Affective Capacities in Lower Vertebrates. In: Böttger-Rössler B, Markowitsch HJ (eds.) Emotions as Bio-cultural Processes, p. 1-39. Springer, New York, DOI: 10.1007/978-0-387-09546-2_4
  3. Niggebrügge, C (2008): Untersuchungen zum Farbensehen und Farbenlernen der Honigbiene (Apis mellifera): vom Photorezeptor zum Verhalten. Doctoral thesis , FU Berlin, Germany.
  4. Peng Y, Xi W, Zhang W, Zhang K, Guo A (2007): Experience Improves Feature Extraction in Drosophila. J. Neurosci. 27:5139-5145
Brembs B. and Wiener J. (2006): Context and occasion setting in Drosophila visual learning. Learn. Mem. 13(5): 618-628
Citations:
  1. Fustiñana MS, Carbó Tano M, Romano A, Pedreira ME (2013): Contextual Pavlovian conditioning in the crab Chasmagnathus. Anim Cogn. 16(2):255-272
  2. Ren Q, Li H, Wu Y, Ren J, Guo A (2012): A GABAergic inhibitory neural circuit regulates visual reversal learning in Drosophila. J Neurosci. 32(34):11524-11538
  3. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  4. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  5. Wessnitzer J, Young JM, Armstrong JD, Webb B (2011): A model of non-elemental olfactory learning in Drosophila. J Comput Neurosci. 32(2):197-212
  6. Young JM, Wessnitzer J, Armstrong JD, Webb B (2011): Elemental and non-elemental olfactory learning in Drosophila. Neurobiol Learn Mem. 96(2):339-352
  7. Farris SM (2011): Are mushroom bodies cerebellum-like structures? Arthropod Struct Dev. 40(4):368-379
  8. Mota T, Giurfa M, Sandoz JC (2011): Color modulates olfactory learning in honeybees by an occasion-setting mechanism. Learn Mem. 18(3):144-155
  9. Farris SM, Schulmeister S (2010): Parasitoidism, not sociality, is associated with the evolution of elaborate mushroom bodies in the brains of hymenopteran insects. Proc Biol Sci. 278 (1707): 940-951
  10. Foucaud J, Burns JG, Mery F (2010): Use of Spatial Information and Search Strategies in a Water Maze Analog in Drosophila melanogaster. PLoS ONE 5(12): e15231
  11. Lau HL (2010): Chemosensory context conditioning in Ceanorhabditis elegans. MSc dissertation, The University of British Columbia
  12. Dunlap-Lehtilä AS (2009): Change and Reliability in the Evolution of Learning and Memory. PhD dissertation, University of Minnesota
  13. Casimir MJ (2009): On the Origin and Evolution of Affective Capacities in Lower Vertebrates. In: Böttger-Rössler B, Markowitsch HJ (eds.) Emotions as Bio-cultural Processes, p. 1-39. Springer, New York, DOI: 10.1007/978-0-387-09546-2_4
  14. van Swinderen B, McCartney A, Kauffman S, Flores K, Agrawal K, Wagner J, Paulk A (2009): Shared Visual Attention and Memory Systems in the Drosophila Brain. PLoS ONE 4(6): e5989.
  15. Seugnet L, Suzuki Y, Stidd R, Shaw PJ. (2009): Aversive Phototaxic Suppression: evaluation of a short-term memory assay in Drosophila melanogaster. Genes Brain Behav. 8(4): 377-389
  16. Bueno JL, Holland PC (2008): Occasion setting in Pavlovian ambiguous target discriminations. Behav Processes. 79(3):132-147
  17. Tanaka NK, Tanimoto H, Ito K. (2008): Neuronal assemblies of the Drosophila mushroom body. J Comp Neurol. 508(5):711-755.
  18. van Swinderen B. (2007): Attention-like processes in Drosophila require short-term memory genes. Science. 315(5818):1590-1593
  19. Peng Y, Xi W, Zhang W, Zhang K, Guo A (2007): Experience Improves Feature Extraction in Drosophila. J. Neurosci. 27:5139-5145
Menzel R.; Brembs, B. and Giurfa M. (2006): Cognition in Invertebrates. In: Kaas, J.H. (ed.) Evolution of Nervous Systems. Academic Press, Oxford ; pp. 403-442
Citations:
  1. Eckstein MP, Mack SC, Liston DB, Bogush L, Menzel R, Krauzlis RJ (2013): Rethinking human visual attention: Spatial cueing effects and optimality of decisions by honeybees, monkeys and humans. Vision Res. 2013 Jan 5. doi:pii: S0042-6989(12)00416-6. 10.1016/j.visres.2012.12.011
  2. Carazo P, Fernández-Perea R, Font E (2012): Quantity estimation based on numerical cues in the mealworm beetle (Tenebrio molitor). Front. Psychology 3:502. doi: 10.3389/fpsyg.2012.00502
  3. Jeanson R, Dussutour A, Fourcassié V (2012): Key factors for the emergence of collective decision in invertebrates. Front Neurosci. 6:121
  4. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  5. Giurfa M, Sandoz JC (2012): Invertebrate learning and memory: Fifty years of olfactory conditioning of the proboscis extension response in honeybees. Learn Mem. 19(2):54-66
  6. Pamir E, Chakroborty NK, Stollhoff N, Gehring KB, Antemann V, Morgenstern L, Felsenberg J, Eisenhardt D, Menzel R, Nawrot MP. (2011): Average group behavior does not represent individual behavior in classical conditioning of the honeybee. Learn Mem. 18(11):733-741
  7. Vinauger C, Buratti L, Lazzari CR (2011): Learning the way to blood: first evidence of dual olfactory conditioning in a blood-sucking insect, Rhodnius prolixus. I. Appetitive learning. J Exp Biol. 214(Pt 18):3032-3038
  8. Matsumoto CS, Matsumoto Y, Watanabe H, Nishino H, Mizunami M. (2011): Context-dependent olfactory learning monitored by activities of salivary neurons in cockroaches. Neurobiol Learn Mem. 2011 Sep 10. [Epub ahead of print]
  9. Cruse H, Wehner R (2011): No Need for a Cognitive Map: Decentralized Memory for Insect Navigation. PLoS Comput Biol 7(3): e1002009
  10. Bar-Shaia N, Keasarb T, Shmida A (2011): The use of numerical information by bees in foraging tasks. Behav Ecol 22 (2): 317-325
  11. Gal R, Libersat F (2010): On predatory wasps and zombie cockroaches: Investigations of "free will" and spontaneous behavior in insects. Commun Integr Biol. 3(5):458-61
  12. Roussel E, Sandoz JC, Giurfa M (2010): Searching for learning-dependent changes in the antennal lobe: simultaneous recording of neural activity and aversive olfactory learning in honeybees. Front Behav. Neurosci. 4: 155
  13. Abramson CI, Nolf SL, Mixson TA, Well H (2010): Can Honey Bees Learn the Removal of a Stimulus as a Conditioning Cue? Ethology 116: 1–12 doi: 10.1111/j.1439-0310.2010.01796.x
  14. Bar-Shai N, Keasar T, Shmida A (2010): The use of numerical information by bees in foraging tasks. Center for the study of rationality - Hebrew University of Jerusalem, Discussion Paper # 555 June 2010
  15. Tomina Y, Takahata M. (2010): A behavioral analysis of force-controlled operant tasks in American lobster. Physiol Behav. 101(1): 108-116
  16. Abramson CI (2009): A Study in Inspiration: Charles Henry Turner (1867–1923) and the Investigation of Insect Behavior. Annu. Rev. Entomol. 54:343–359
  17. Wehner R (2009): The architecture of the desert ant's navigational toolkit (Hymenoptera: Formicidae). Myrmecological News, 12: 85-96
  18. Bozkurt A, Gilmour RF, Sinha A, Stern D, Lal A (2009): Insect–Machine Interface Based Neurocybernetics. IEEE Transactions on Biomedical Engineering 56(6): 1727 - 1733
  19. Josens R, Eschbach C, Giurfa M (2009): Differential conditioning and long-term olfactory memory in individual Camponotus fellah ants. J Exp Biol. 212(Pt 12):1904-1911
  20. Carazo P, Font E, Forteza-Behrendt E, Desfilis E (2009): Quantity discrimination in Tenebrio molitor: evidence of numerosity discrimination in an invertebrate? Anim Cogn. 12(3):463-470
  21. Garzón PC, Keijzer F (2009): Cognition in plants. In: F. Baluška (Ed.) Plant – environment interactions: Behavioral perspective. Elsevier.
  22. Menzel R. (2009): Serial position learning in honeybees. PLoS ONE 4(3): e4694.
  23. Platt M, Dayan P, Dehaene S, McCabe K, Menzel R, Phelps E, Plassmann H, Ratcliff R, Shadlen M, Singer W (2008): Neuronal correlates of decision making. In: Engel C and Singer W (Eds.) Better Than Conscious? Decision Making, the Human Mind, and Implications For Institutions. MIT Press
  24. Menzel R. (2008): Insect minds for human minds. In: Benjamin AS, de Belle JS, Etnyre B, Polk TA(eds.) Human Learning, pp. 271-285, Elsevier
  25. Menzel R. (2007): Electrophysiology and Optophysiology of Complex Brain Functions in Insects. In: North G and Greenspan RJ (eds.) Invertebrate Neurobiology, pp. 53-78, CSHL Press.
  26. Okada R, Rybak J, Manz G, Menzel R. (2007): Learning-related plasticity in PE1 and other mushroom body-extrinsic neurons in the honeybee brain. J Neurosci. 27(43):11736-11747.
  27. van Duijn M, Keijzer F, Franken D (2006): Principles of minimal cognition: Casting cognition as sensorimotor coordination. Adapt. Behav. 14 (2): 157-170
Phillips A.M.; Smart R.; Strauss R.; Brembs B. and Kelly L.E. (2005): The Drosophila black enigma: the molecular and behavioural characterization of the black1 mutant allele. Gene 351:131-142
Citations:
  1. Ziegler AB, Brüsselbach F, Hovemann BT (2013): Activity and coexpression of Drosophila black with ebony in fly optic lobes reveals putative cooperative tasks in vision that evade electroretinographic detection. J Comp Neurol. 521(6):1207-1224
  2. Ilg T, Berger M, Noack S, Rohwer A, Gaßel M (2012): Glutamate decarboxylase of the parasitic arthropods Ctenocephalides felis and Rhipicephalus microplus: gene identification, cloning, expression, assay development, identification of inhibitors by high throughput screening and comparison with the orthologs from Drosophila melanogaster and mouse. Insect Biochem Mol Biol. 43(2): 162-177
  3. Pulver SR, Berni J (2012): The Fundamentals of Flying: Simple and Inexpensive Strategies for Employing Drosophila Genetics in Neuroscience Teaching Laboratories. The Journal of Undergraduate Neuroscience Education (JUNE) 11(1):A139-A148
  4. Saenko SV, Jerónimo MA, Beldade P (2012): Genetic basis of stage-specific melanism: a putative role for a cysteine sulfinic acid decarboxylase in insect pigmentation. Heredity (Edinb). 108(6):594-601
  5. Wardill TJ, List O, Li X, Dongre S, McCulloch M, Ting CY, O'Kane CJ, Tang S, Lee CH, Hardie RC, Juusola M (2012): Multiple spectral inputs improve motion discrimination in the Drosophila visual system. Science. 336(6083):925-931
  6. Borycz J, Borycz JA, Edwards TN, Boulianne GL, Meinertzhagen IA (2012): The metabolism of histamine in the Drosophila optic lobe involves an ommatidial pathway: β-alanine recycles through the retina. J Exp Biol. 215(Pt 8):1399-1411
  7. Saenko SV, Jerónimo MA, Beldade P (2012): Genetic basis of stage-specific melanism: a putative role for a cysteine sulfinic acid decarboxylase in insect pigmentation. Heredity (Edinb). 2012 Jan 11. doi: 10.1038/hdy.2011.127. [Epub ahead of print]
  8. Rund SS, Hou TY, Ward SM, Collins FH, Duffield GE (2011): Genome-wide profiling of diel and circadian gene expression in the malaria vector Anopheles gambiae. Proc Natl Acad Sci U S A. 108(32):E421-430
  9. Ziegler, AB; Hovemann, BT (2011): Aspartate decarboxylase Black as a part of visual signal transduction. J. Neurogen. 24: 51
  10. Richardson G, Ding H, Rocheleau T, Mayhew G, Reddy E, Han Q, Christensen BM, Li J (2010): An examination of aspartate decarboxylase and glutamate decarboxylase activity in mosquitoes. Mol Biol Rep. 37(7):3199-3205
  11. Gallot A, Rispe C, Leterme N, Gauthier JP, Jaubert-Possamai S, Tagu D (2010): Cuticular proteins and seasonal photoperiodism in aphids. Insect Biochem Mol Biol. 40(3):235-240
  12. Richardson G, Ding H, Rocheleau T, Mayhew G, Reddy E, Han Q, Christensen BM, Li J (2009): An examination of aspartate decarboxylase and glutamate decarboxylase activity in mosquitoes. Mol Biol Rep. [Epub ahead of print]
  13. Le Trionnaire G, Francis F, Jaubert-Possamai S, Bonhomme J, De Pauw E, Gauthier JP, Haubruge E, Legeai F, Prunier-Leterme N, Simon JC, Tanguy S, Tagu D (2009): Transcriptomic and proteomic analyses of seasonal photoperiodism in the pea aphid. BMC Genomics 10:456
  14. Arakane Y, Lomakin J, Beeman RW, Muthukrishnan S, Gehrke SH, Kanost MR, Kramer KJ (2009): Molecular and Functional Analyses of Amino Acid Decarboxylases Involved in Cuticle Tanning in Tribolium castaneum. J Biol Chem. 284(24):16584-16594
  15. Davis MM, Primrose DA, Hodgetts RB (2008): A member of the p38 mitogen-activated protein kinase family is responsible for transcriptional induction of Dopa decarboxylase in the epidermis of Drosophila melanogaster during the innate immune response. Mol Cell Biol. 28(15):4883-4895.
  16. Stuart AE, Borycz J, Meinertzhagen IA (2007): The dynamics of signaling at the histaminergic photoreceptor synapse of arthropods. Prog Neurobiol. 82(4):202-227
Brembs B.; Baxter D.A. and Byrne J.H. (2004): Extending In Vitro Conditioning in Aplysia to Analyze Operant and Classical Processes in the Same Preparation. Learn. Mem. 11: 412-420.
Citations:
  1. Guerra, LGGC, Silva, MTA (2010): Learning processes and the neural analysis of conditioning. Psych Neur. 3(2), doi: 10.3922/j.psns.2010.2.xxx
  2. Nargeot R, Simmers J (2010): Neural mechanisms of operant conditioning and learning-induced behavioral plasticity in Aplysia. Cell Mol Life Sci. 68(5): 803-816
  3. Katzoff A, Miller N, Susswein AJ (2009): Nitric oxide and histamine signal attempts to swallow: A component of learning that food is inedible in Aplysia. Learn Mem. 17(1):839-851
  4. Grasso FW, Basil JA (2009): The evolution of flexible behavioral repertoires in cephalopod molluscs. Brain Behav Evol. 74(3):231-245
  5. Tomsic D, de Astrada MB, Sztarker J, Maldonado H. (2009): Behavioral and neuronal attributes of short- and long-term habituation in the crab Chasmagnathus. Neurobiol Learn Mem. 92(2):176-182
  6. Jing J, Vilim FS, Cropper EC, Weiss KR (2008): Neural analog of arousal: persistent conditional activation of a feeding modulator by serotonergic initiators of locomotion. J Neurosci. 28(47):12349-12361.
  7. Nargeot R, Petrissans C, Simmers J. (2007): Behavioral and in vitro correlates of compulsive-like food seeking induced by operant conditioning in Aplysia. J Neurosci. 27(30): 8059-8070
  8. Silva MTA, Goncalves FL, Garcia-Mijares M (2007): Neural events in the reinforcement contingency. Behav. Anal. 30(1): 17-30
  9. Krylov AK, Aleksandrov YI (2007): "Situatedness in an environment" as alternative to stimuli presentation: Model study. Psykhologicheskii Zhurnal 28(2): 106-113
  10. Wright JW, Olson ML, Harding JW (2006): The role of the brain angiotensin system in learning, memory and neural plasticity. In: Trends in Learning Research (ed.: Hogan SH). Nova Publishers, pp. 1-39
  11. Baxter DA, Byrne JH (2006): Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning. Learn. Mem. 13: 669-680
  12. Goel P, Gelperin A. (2006): A neuronal network for the logic of Limax learning. J Comput Neurosci. 21(3):259-270
  13. Katzoff A, Ben-Gedalya T, Hurwitz I, Miller N, Susswein YZ, Susswein AJ. (2006): Nitric oxide signals that aplysia have attempted to eat, a necessary component of memory formation after learning that food is inedible. J Neurophysiol. 96(3):1247-1257
  14. Diaz-Rios M, Miller MW (2006): Target-specific regulation of synaptic efficacy in the feeding central pattern generator of Aplysia: potential substrates for behavioral plasticity? Biol Bull. 210(3):215-29.
  15. Hawkins RD, Clark, GA, Kandel, ER (2006): Operant Conditioning of Gill Withdrawal in Aplysia. J. Neurosci. 26(9):2443-2448
  16. Agin V, Chichery R, Dickel L, Chichery MP. (2006): The "prawn-in-the-tube" procedure in the cuttlefish: habituation or passive avoidance learning? Learn Mem. 13(1):97-101
  17. Jezzini SH, Bodnarova M, Moroz LL. (2005): Two-color in situ hybridization in the CNS of Aplysia californica. J Neurosci Methods. 149(1): 15-25
  18. Reyes FD, Mozzachiodi R, Baxter DA, Byrne JH (2005): Reinforcement in an in vitro analog of appetitive classical conditioning of feeding behavior in Aplysia: Blockade by a dopamine antagonist. Learn. Mem. 12: 216-220
  19. Zhurov Y, Proekt A, Weiss KR, Brezina V. (2005): Changes of internal state are expressed in coherent shifts of neuromuscular activity in Aplysia feeding behavior. J Neurosci. 25(5): 1268-1280.
  20. Giurfa M (2004): "This paper shows that it is possible to study the two major forms of associative..." Evaluation of: [Brembs B et al. Extending in vitro conditioning in Aplysia to analyze operant and classical processes in the same preparation. Learn Mem. 2004 Jul-Aug; 11(4):412-20; doi: 10.1101/lm.74404]. Faculty of 1000, 11 Nov 2004. F1000.com/1022188
Brembs, B (2003): Operant Conditioning in Invertebrates. Curr. Opin. Neurobiol. 13(6): 710-717.
Citations:
  1. Kirkerud NH, Wehmann H-N, Galizia CG and Gustav D (2013): APIS—a novel approach for conditioning honey bees. Front. Behav. Neurosci. 7:29. doi: 10.3389/fnbeh.2013.00029
  2. Milinkeviciute G, Gentile C, Neely GG (2012): Drosophila as a tool for studying the conserved genetics of pain. Clin Genet. 82(4):359-366
  3. Nargeot R, Simmers J (2012): Functional Organization and Adaptability of a Decision-Making Network in Aplysia. Front Neurosci. 6:113
  4. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  5. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  6. Kapustjansky, A (2012): In vivo imaging and optogenetic approach to study the formation of olfactory memory and locomotor behaviour in Drosophila melanogaster. PhD Thesis, Julius-Maximilians Universität Würzburg
  7. Dalesman S, Lukowiak K (2012): How Stress Alters Memory in 'Smart' Snails. PLoS ONE 7(2): e32334
  8. Dalesman S, Braun MH, Lukowiak K. (2011): Low environmental calcium blocks long-term memory formation in a freshwater pulmonate snail. Neurobiol Learn Mem. 95(4):393-403
  9. Nargeot R, Simmers J (2010): Neural mechanisms of operant conditioning and learning-induced behavioral plasticity in Aplysia. Cell Mol Life Sci. 68(5): 803-816
  10. Tomina Y, Takahata M. (2010): A behavioral analysis of force-controlled operant tasks in American lobster. Physiol Behav. 2010 Apr 29. [Epub ahead of print]
  11. Sokolowski MBC, Disma G, Abramson CI (2010): A paradigm for operant conditioning in Blow Flies (Phormia terrae novae Robineau-Desvoidy, 1830). J exp. Anal. Behav. 93 (1): 81-89
  12. Dayan P, Huys QJ. (2009): Serotonin in Affective Control. Annu Rev Neurosci. 32: 95-126
  13. Khan AM, Spencer GE (2009): Novel neural correlates of operant conditioning in normal and differentially reared Lymnaea. J Exp Biol. 212(Pt 7):922-933
  14. Pitman JL, Dasgupta S, Krashes MJ, Leung B, Perrat PN, Waddell S. (2009): There are many ways to train a fly. Fly (Austin). 3(1): 3-9
  15. Vandersal ND (2008): Rapid spatial learning in a velvet ant (Dasymutilla coccineohirta). Anim Cogn. 11(3):563-567
  16. Lukowiak K, Martens K, Rosenegger D, Browning K, de Caigny P, Orr M (2008): The perception of stress alters adaptive behaviours in Lymnaea stagnalis. J Exp Biol. 211(Pt 11):1747-1756.
  17. VanderSal ND, Hebets EA. (2007): Cross-modal effects on learning: a seismic stimulus improves color discrimination learning in a jumping spider. J Exp Biol. 210(Pt 20):3689-3695.
  18. Henry F, Dauce E, Soula H (2007): Temporal pattern identification using spike-timing dependent plasticity. Neurocomp. 70(10-12): 2009-2016
  19. Kim YC, Lee HG, Han KA. (2007): Classical reward conditioning in Drosophila melanogaster. Genes Brain Behav. 6(2):201-207
  20. Daucé E, Henry F (2006): Hebbian learning in large recurrent neural networks. Paper presented at NeuroComp 2006, 202
  21. Dupuy F, Sandoz JC, Giurfa M, Josens R (2006): Individual olfactory learning in Camponotus ants. Anim. Behav. 72: 1081-1091
  22. Baxter DA, Byrne JH (2006): Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning. Learn. Mem. 13: 669-680
  23. Aragona BJ, Carelli RM. (2006): Dynamic neuroplasticity and the automation of motivated behavior. Learn Mem. 13(5):558-559
  24. Hawkins RD, Clark, GA, Kandel, ER (2006): Operant Conditioning of Gill Withdrawal in Aplysia. J. Neurosci. 26(9):2443-2448
  25. Barbas D, Zappulla JP, Angers S, Bouvier M, Mohamed HA, Byrne JH, Castellucci VF, Desgroseillers L. (2006): An aplysia dopamine-like receptor: molecular and functional characterization. J Neurochem. 96(2):414-427
  26. Burggren WW, Monticino MG. (2005): Assessing physiological complexity.J Exp Biol. 208(17): 3221-3232.
  27. Reyes FD, Mozzachiodi R, Baxter DA, Byrne JH (2005): Reinforcement in an in vitro analog of appetitive classical conditioning of feeding behavior in Aplysia: Blockade by a dopamine antagonist. Learn. Mem. 12: 216-220
  28. Manev H, Dimitrijevic N. (2005): Fruit flies for anti-pain drug discovery. Life Sci. 76(21):2403-7.
  29. Dacher M (2005): Role des recepteurs nicotiniques dans differentes formes de memoire chez l'abeille Apis mellifera. Doctoral thesis, Université de Toulouse, Paul Sabatier, France
  30. Demirci S, Esel E (2004): The biological mechanisms of learning and memory, and their relationships with psychiatric disorders. Anatol. J. Psych. 5:239-248
Brembs, B (2003): Operant Reward Learning in Aplysia. Curr. Dir. Psych. Sci. 12 (6): 218-221.
Citations:
  1. Casimir MJ (2009): On the Origin and Evolution of Affective Capacities in Lower Vertebrates. In: Böttger-Rössler B, Markowitsch HJ (eds.) Emotions as Bio-cultural Processes, p. 1-39. Springer, New York, DOI: 10.1007/978-0-387-09546-2_4
  2. Baxter DA, Byrne JH (2006): Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning. Learn. Mem. 13: 669-680
  3. Goldman MS, Darkes J, Reich RR, Brandon KO (2006): From DNA to conscious thought: The influence of anticipatory processes on human alcohol consumption. In: Munafò M, Albery IP (Eds) Cognition and addiction. (pp. 147-184). New York, NY, US: Oxford University Press. x, 307 pp.
  4. Reich RR, Noll JA, Goldman MS. (2005): Cue patterns and alcohol expectancies: how slight differences in stimuli can measurably change cognition. Exp Clin Psychopharmacol. 13(1): 65-71.
Brembs B.; Lorenzetti F.D.; Reyes F.D.; Baxter D.A. and Byrne J.H. (2002): Operant Reward Learning in Aplysia: Neuronal Correlates and Mechanisms. Science 296: 1706-1709.
Citations:
  1. Schultz W (2013): Updating dopamine reward signals. Curr Opin Neurobiol. 23(2): 229–238. doi:pii: S0959-4388(12)00186-9. 10.1016/j.conb.2012.11.012.
  2. Shields-Johnson ME, Hernandez JS, Torno C, Adams KM, Wainwright ML, Mozzachiodi R (2012): Effects of aversive stimuli beyond defensive neural circuits: Reduced excitability in an identified neuron critical for feeding in Aplysia. Learn Mem. 20(1):1-5
  3. Shi Z, Chen S, Chen L, Sun X, Song G, Wang Q, Chang Q, Li H, Li Y, Qu L, Liu X (2012): Evaluation of reward-relevant learning and memory behavior with operant conditioning task in rats. Acta Laboratorium Animalis Scientia Sinica, 20 (4): 9-15
  4. Gantt EE, Melling BS, Reber JS (2012): Mechanisms or metaphors? The emptiness of evolutionary psychological explanations. Theory Psychology 22(6): 823-841
  5. Hirayama K, Catanho M, Brown JW, Gillette R (2012): A core circuit module for cost/benefit decision. Front Neurosci. 6:123
  6. Soltoggio A, Stanley KO (2012): From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation. Neural Netw. 34:28-41
  7. Shi Z, Sun X, Liu X, Chen S, Chang Q, Chen L, Song G, Li H. (2012): Evaluation of an Aβ(1-40)-induced cognitive deficit in rat using a reward-directed instrumental learning task. Behav Brain Res. 234(2):323-333
  8. Harris CA, Buckley CL, Nowotny T, Passaro PA, Seth AK, Kemenes G, O'Shea M (2012): Multi-neuronal refractory period adapts centrally generated behaviour to reward. PLoS One. 7(7):e42493
  9. Nargeot R, Simmers J (2012): Functional Organization and Adaptability of a Decision-Making Network in Aplysia. Front Neurosci. 6:113
  10. Susswein AJ, Chiel HJ. (2012): Nitric oxide as a regulator of behavior: New ideas from Aplysia feeding. Prog Neurobiol. 97(3):304-317
  11. Eschbach C (2012): Classical and operant learning in the larvae of Drosophila melanogaster. PhD thesis, University of Würzburg, http://opus.bibliothek.uni-wuerzburg.de/volltexte/2012/7058
  12. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  13. Acheampong A, Kelly K, Shields-Johnson M, Hajovsky J, Wainwright M, Mozzachiodi R (2012): Rapid and persistent suppression of feeding behavior induced by sensitization training in Aplysia. Learn Mem. 19(4):159-163
  14. Cheu EY, Quek C, Ng SK (2012): ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia. IEEE Transactions on Neural Networks and Learning Systems, 23(2): 317 - 329
  15. Kappeler PM (2012): Entwicklung und Kontrolle des Verhaltens. In: Verhaltensbiologie, Springer Lehrbuch, DOI: 10.1007/978-3-642-20653-5
  16. Ponulak F, Kasinski A (2011): Introduction to spiking neural networks: Information processing, learning and applications. Acta Neurobiol Exp (Wars). 71(4):409-433
  17. Lorenzetti FD, Baxter DA, Byrne JH (2011): Classical conditioning analog enhanced acetylcholine responses but reduced excitability of an identified neuron. J Neurosci. 31(41):14789-14793.
  18. Miller N, Saada R, Markovich S, Hurwitz I, Susswein AJ. (2011): L-arginine via nitric oxide is an inhibitory feedback modulator of Aplysia feeding. J Neurophysiol. 105(4):1642-1650
  19. Cheu EY, Quek C, Ng SK (2010): Time Series Forecasting With Appetitive Reward-based Pseudo-Outer-Product Fuzzy Neural Network. The 2010 International Joint Conference on Neural Networks (IJCNN), doi: 10.1109/IJCNN.2010.5596738
  20. Guerra, LGGC, Silva, MTA (2010): Learning processes and the neural analysis of conditioning. Psych Neur. 3(2), doi: 10.3922/j.psns.2010.2.xxx
  21. Barron AB, Søvik E, Cornish JL (2010): The roles of dopamine and related compounds in reward-seeking behavior across animal phyla. Front Behav Neurosci. 4:163
  22. Nargeot R, Simmers J (2010): Neural mechanisms of operant conditioning and learning-induced behavioral plasticity in Aplysia. Cell Mol Life Sci. 68(5): 803-816
  23. Pirger Z, László Z, Kemenes I, Tóth G, Reglodi D, Kemenes G (2010): A homolog of the vertebrate pituitary adenylate cyclase-activating polypeptide is both necessary and instructive for the rapid formation of associative memory in an invertebrate. J Neurosci. 30(41):13766-13773
  24. Wu JS, Vilim FS, Hatcher NG, Due MR, Sweedler JV, Weiss KR, Jing J. (2010): A Composite Modulatory Feedforward Loop Contributes to the Establishment of a Network State. J Neurophysiol. 2010 Feb 24. [Epub ahead of print]
  25. Mozzachiodi R, Byrne JH (2010): More than synaptic plasticity: role of nonsynaptic plasticity in learning and memory. Trends Neurosci. 33 (1): 17-26
  26. Katzoff A, Miller N, Susswein AJ (2009): Nitric oxide and histamine signal attempts to swallow: A component of learning that food is inedible in Aplysia. Learn Mem. 17(1):839-851
  27. Casimir MJ (2009): On the Origin and Evolution of Affective Capacities in Lower Vertebrates. In: Böttger-Rössler B, Markowitsch HJ (eds.) Emotions as Bio-cultural Processes, p. 1-39. Springer, New York, DOI: 10.1007/978-0-387-09546-2_4
  28. Claridge-Chang A, Roorda RD, Vrontou E, Sjulson L, Li H, Hirsh J, Miesenböck G. (2009): Writing memories with light-addressable reinforcement circuitry. Cell 139(2):405-415
  29. Kemenes G (2009): Learning and Memory: How Sea Slug Behaviors Become Compulsive. Curr Biol. 19(13):R515-R517
  30. Nargeot R, Le Bon-Jego M, Simmers J (2009): Cellular and network mechanisms of operant learning-induced compulsive behavior in Aplysia. Curr Biol. 19(12):975-984
  31. Dayan P, Huys QJ. (2009): Serotonin in Affective Control. Annu Rev Neurosci. 32: 95-126
  32. Martínez-Rubio C, Serrano GE, Miller MW (2009): Localization of biogenic amines in the foregut of Aplysia californica: catecholaminergic and serotonergic innervation. J Comp Neurol. 514(4):329-342
  33. Khan AM, Spencer GE (2009): Novel neural correlates of operant conditioning in normal and differentially reared Lymnaea. J Exp Biol. 212(Pt 7):922-933
  34. Kisch J, Haupt SS (2009): Side-specific operant conditioning of antennal movements in the honey bee. Behav Brain Res. 196(1):131-133
  35. Kappeler PM (2008): Verhaltensbiologie 2nd edition. Springer-Lehrbuch ISSN 0937-7433
  36. Soltoggio A (2008): Neuromodulation Increases Decision Speed in Dynamic Environments. In: Schlesinger, M., Berthouze, L., and Balkenius, C. (2008): Proceedings of the Eighth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 139.
  37. Lee YS, Bailey CH, Kandel ER, Kaang BK (2008): Transcriptional regulation of long-term memory in the marine snail Aplysia. Mol Brain. 1(1):3.
  38. Proekt A, Wong J, Zhurov Y, Kozlova N, Weiss KR, Brezina V. (2008): Predicting adaptive behavior in the environment from central nervous system dynamics. PLoS ONE. 3(11): e3678
  39. Mozzachiodi R, Lorenzetti FD, Baxter DA, Byrne JH. (2008): Changes in neuronal excitability serve as a mechanism of long-term memory for operant conditioning. Nat Neurosci. 11: 1146-1148
  40. Lorenzetti FD, Byrne JH (2008): Cellular mechnaisms of associative learning in Aplysia. In: Byrne, JH (ed.) Concise Learning and Memory: The Editor's Selection. Academic Press, London San Diego
  41. Lorenzetti FD, Baxter DA, Byrne JH (2008): Molecular Mechanisms Underlying a Cellular Analog of Operant Reward Learning. Neuron 59: 815-828
  42. Soltoggio A, Bullinaria JA, Mattiussi C, Dürr P, Floreano D (2008): Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. Proc 11th Int. Conf. Art. Life (Alife XI), 2008. LIS-CONF-2008-012
  43. Levitan D, Lyons LC, Perelman A, Green CL, Motro B, Eskin A, Susswein AJ. (2008): Training with inedible food in Aplysia causes expression of C/EBP in the buccal but not cerebral ganglion. Learn Mem. 15(6):412-416.
  44. Benjamin PR, Kemenes G, Kemenes I. (2008): Non-synaptic neuronal mechanisms of learning and memory in gastropod molluscs. Front Biosci. 13: 4051-4057
  45. Barandiaran X, Moreno A (2008): On the nature of neural information: A critique of the received view 50 years later. Neurocomp. 71 (4-6): 681-692
  46. Hurwitz I, Ophir A, Korngreen A, Koester J, Susswein AJ. (2008): Currents contributing to decision making in neurons b31/b32 of Aplysia. J Neurophysiol. 99(2): 814-830
  47. Nikitin ES, Korshunova TA, Zakharov IS, Balaban PM. (2008): Olfactory experience modifies the effect of odour on feeding behaviour in a goal-related manner. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 194(1):19-26
  48. Barandiaran X, Moreno A (2008): Adaptivity: From Metabolism to Behavior. Adapt Behav. 16 (5): 325-344
  49. Glanzman DL (2007): Simple Minds: The Neurobiology of Invertebrate Learning and Memory. Chapter 14 in: North G (ed.) Invertebrate Neurobiology, p. 347-380. Cold Spring Harbor Press.
  50. Alcaro A, Huber R, Panksepp J. (2007): Behavioral functions of the mesolimbic dopaminergic system: an affective neuroethological perspective. Brain Res Rev. 56(2): 283-321.
  51. Philips GT, Tzvetkova EI, Carew TJ. (2007): Transient mitogen-activated protein kinase activation is confined to a narrow temporal window required for the induction of two-trial long-term memory in Aplysia. J Neurosci. 27(50):13701-13705.
  52. Martin GG, Oakes CT, Tousignant HR, Crabtree H, Yamakawa R (2007): Structure and function of haemocytes in two marine gastropods, Megathura crenulata and Aplysia californica. J. Mollusc. Stud. 73: 355-365
  53. Rumbaugh DM, King JE, Beran MJ, Washburn DA, Gould K (2007): A Salience Theory of Learning and Behavior: With Perspectives on Neurobiology and Cognition. Int. J. Primatol. 28(5): 973-996
  54. Nargeot R, Petrissans C, Simmers J. (2007): Behavioral and in vitro correlates of compulsive-like food seeking induced by operant conditioning in Aplysia. J Neurosci. 27(30): 8059-8070
  55. Serrano GE, Martinez-Rubio C, Miller MW. (2007): Endogenous motor neuron properties contribute to a program-specific phase of activity in the multifunctional feeding central pattern generator of Aplysia. J Neurophysiol. 98(1):29-42
  56. Silva MTA, Goncalves FL, Garcia-Mijares M (2007): Neural events in the reinforcement contingency. Behav. Anal. 30(1): 17-30
  57. Daucé E (2007): Learning and control with large dynamic neural networks. Eur. Phys. J. Special Topics 142, 123–161
  58. Shaywitz SE, Shaywitz BA (2007): What neuroscience really tells us about reading instructions - A response to Judy Willis. Educational Leadership 64 (5): 74-76
  59. Willis J (2007): The gully in the "brain glitch" theory. Educational Leadership 64 (5): 68-73
  60. Cataldo E, Brunelli M, Av-Ron E, Cai Y, Baxter DA (2007): Geometry, activity-dependent mechanisms, membrane kinetics and channel density distribution interplay in single neuron plasticity: a computational study. In: Mondaini RP, Dilão R (eds.) Biomat 2007: International Symposium on Mathematical and Computational Biology. 154-178
  61. Kappeler PM (2006): Verhaltensbiologie, Springer-Lehrbuch, ISBN: 978-3-540-24056-3
  62. Rossini L, Rossini P (2006): Pharmacotherapeutic receptor specificities and selectivity classes, and plecebo effects: a perspective. Pharmacologyonline 2: 206-235
  63. Cataldo E, Byrne JH, Baxter DA (2006): Computational model of a central pattern generator. Computational Methods in Systems Biology, Proceedings Lecture Notes in Computer Science 4210: 242-256
  64. Baxter DA, Byrne JH (2006): Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning. Learn. Mem. 13: 669-680
  65. Giurfa, M (2006): Associative Learning: The Instructive Function of Biogenic Amines. Curr. Biol. 16(20): R892-R895
  66. Paolucci, M; Conte, R; Di Tosto, G (2006): A model of social organization and the evolution of food sharing in vampire bats. Adapt. Behav. 14 (3): 223-238
  67. Katzoff A, Ben-Gedalya T, Hurwitz I, Miller N, Susswein YZ, Susswein AJ. (2006): Nitric oxide signals that aplysia have attempted to eat, a necessary component of memory formation after learning that food is inedible. J Neurophysiol. 96(3):1247-1257
  68. Diaz-Rios M, Miller MW. (2006): Target-specific regulation of synaptic efficacy in the feeding central pattern generator of Aplysia: potential substrates for behavioral plasticity? Biol Bull. 210(3):215-29.
  69. Kemenes I, Straub VA, Nikitin ES, Staras K, O'shea M, Kemenes G, Benjamin PR. (2006): Role of delayed nonsynaptic neuronal plasticity in long-term associative memory. Curr Biol. 16(13):1269-1279
  70. Cheng J, Feenstra MG. (2006): Individual differences in dopamine efflux in nucleus accumbens shell and core during instrumental learning. Learn. Mem. 13(2):168-177
  71. Fioravante D, Smolen PD, Byrne JH. (2006): The 5-HT- and FMRFa-activated signaling pathways interact at the level of the Erk MAPK cascade: potential inhibitory constraints on memory formation. Neurosci Lett. 396(3):235-240
  72. Lowe MR, Spencer GE. (2006): Perturbation of the activity of a single identified neuron affects long-term memory formation in a molluscan semi-intact preparation. J Exp Biol. 209(Pt 4):711-721
  73. Shirinyan D, Teshiba T, Taylor K, O'neill P, Lee SC, Krasne FB. (2006): Rostral Ganglia are required for induction but not expression of crayfish escape reflex habituation: role of higher centers in reprogramming low-level circuits. J Neurophysiol. 95(4):2721-2724
  74. Hawkins RD, Clark, GA, Kandel, ER (2006): Operant Conditioning of Gill Withdrawal in Aplysia. J. Neurosci. 26(9):2443-2448
  75. Teague CL (2006): Perceptions of the Silent Majority: Projects as Assessments in a Brain Compatible Curriculum. ED thesis, University Of Cincinnati, USA
  76. Barbas D, Zappulla JP, Angers S, Bouvier M, Mohamed HA, Byrne JH, Castellucci VF, Desgroseillers L. (2006): An aplysia dopamine-like receptor: molecular and functional characterization. J Neurochem. 96(2):414-427
  77. Lorenzetti FD, Mozzachiodi R, Baxter DA, Byrne JH. (2006): Classical and operant conditioning differentially modify the intrinsic properties of an identified neuron. Nat Neurosci. 9(1):17-19.
  78. Douglas SJ, Dawson-Scully K, Sokolowski MB. (2005): The neurogenetics and evolution of food-related behaviour. Trends Neurosci. 28(12):644-652.
  79. Kristan WB Jr, Calabrese RL, Friesen WO. (2005): Neuronal control of leech behavior. Prog Neurobiol. 76(5): 279-327
  80. Kazdin AE (2005): Treatment for oppositional, aggressive and antisocial behavior n children and adolescents . Oxford University Press, UK
  81. Tobler PN, O'Doherty JP, Dolan RJ, Schultz W. (2005): Human neural learning depends on reward prediction errors in the blocking paradigm. J Neurophysiol. 95(1):301-310
  82. McComb C, Rosenegger D, Varshney N, Kwok HY, Lukowiak K. (2005): Operant conditioning of an in vitro CNS - pneumostome preparation of Lymnaea. Neurobiol Learn Mem. 84(1): 9-24.
  83. Reyes FD, Mozzachiodi R, Baxter DA, Byrne JH (2005): Reinforcement in an in vitro analog of appetitive classical conditioning of feeding behavior in Aplysia: Blockade by a dopamine antagonist. Learn. Mem. 12: 216-220
  84. Frick A, Johnston D (2005): Plasticity of dendritic excitability. J Neurobiol. 64 (1): 100-115
  85. Diaz-Rios M, Miller MW.(2005): Rapid dopaminergic signaling by interneurons that contain markers for catecholamines and GABA in the feeding circuitry of Aplysia. J Neurophysiol. 93(4):2142-2156.
  86. Smith WB, Starck SR, Roberts RW, Schuman EM, (2005): Dopaminergic Stimulation of Local Protein Synthesis Enhances Surface Expression of GluR1 and Synaptic Transmission in Hippocampal Neurons. Neuron. 45(5):765-79
  87. Reich RR, Noll JA, Goldman MS. (2005): Cue patterns and alcohol expectancies: how slight differences in stimuli can measurably change cognition. Exp Clin Psychopharmacol. 13(1): 65-71.
  88. Cooper SJ (2005): Donald O. Hebb's synapse and learning rule: a history and commentary. Neurosci Biobehav Rev. 28(8): 851-874.
  89. Dacher M (2005): Role des recepteurs nicotiniques dans differentes formes de memoire chez l'abeille Apis mellifera. Doctoral thesis, Université de Toulouse, Paul Sabatier, France
  90. Haupt, SH (2005): Das gustatorische System und antennales Lernen der Honigbiene (Apis mellifera L.). Doktoral thesis, TU Berlin, Germany.
  91. Shtonda BB (2004): Electrophysiological and behavioral mechanisms od Caenorhabditis elegans feeding. PhD dissertation, The University of Texas Southwestern Medical Center at Dallas.
  92. Schroeder T (2004): Three faces of desire. Oxford University Press, 213pp
  93. Friedel RO (2004): Dopamine dysfunction in borderline personality disorder: a hypothesis. Neuropsychopharm. 29(6): 1029-39.
  94. Grünewald B (2004): ionic bases of olfactory memory. Membrane currents and modulations of neurons within the honeybee olfactory pathway. Habilitation thesis, Freie Universität Berlin, Germany
  95. Kelley, AE (2004): Memory and addiction: Shared neural circuitry and molecular mechanisms. NEURON 44 (1): 161-179
  96. Zull JE (2004): The art of changing the brain. EDUCATIONAL LEADERSHIP 62 (1): 68-72
  97. Panksepp JB, Huber R (2004): Ethological analyses of crayfish behavior: a new invertebrate system for measuring the rewarding properties of psychostimulants. BEHAV. BRAIN RES. 153 (1): 171-180
  98. Leonard JL, Edstrom JP (2004):Parallel processing in an identified neural circuit: the Aplysia californica gill-withdrawal response model system. BIOL REV 79 (1): 1-59
  99. Cropper EC, Evans CG, Hurwitz I, Jing J, Proekt A, Romero A, Rosen SC (2004): Feeding neural networks in the mollusc Aplysia. NEUROSIGNALS 13 (1-2): 70-86
  100. Lorenzetti FD, Byrne JH (2004): Classical Conditioning and Operant Conditioning. In: Byrne JH (ed.) Learning and Memory, Macmillan Psychology Reference Series, Macmillan, New York
  101. Scholz RW, Binder CR (2003): The Paradigm of Human-Environment Systems (Working Paper, 37). Zürich: ETH Zürich, Umweltnatur- und Umweltsozialwissenschaften.
  102. Wickens JR, Reynolds JNJ, Hyland BI (2003): Neural mechanisms of reward-related motor learning. CURR OPIN NEUROBIOL 13 (6): 685-690
  103. Roberts AC, Glanzman DL (2003): Learning in Aplysia: looking at synaptic plasticity from both sides. TRENDS NEUROSCI 26 (12): 662-670
  104. Daoudal G, Debanne D (2003): Long-term plasticity of intrinsic excitability: Learning rules and mechanisms. LEARN MEM 10 (6): 456-465
  105. Mozzachiodi R, Lechner HA, Baxter DA, Byrne, JH (2003): In vitro analog of classical conditioning of feeding behavior in Aplysia. LEARN MEM 10 (6): 478-494
  106. Barbas D, DesGroseillers L, Castellucci VF, Carew TJ, Marinesco S (2003): Multiple serotonergic mechanisms contributing to sensitization in Aplysia: Evidence of diverse serotonin receptor subtypes. LEARN MEM 10 (5): 373-386
  107. Dembrow NC, Jing J, Proekt A, Romero A, Vilim FS, Cropper EC, Weiss KR (2003): A newly identified buccal interneuron initiates and modulates feeding motor programs in Aplysia. J NEUROPHYSIOL 90 (4): 2190-2204
  108. Johnson LR, Byrne JH (2003): Essential medical physiology. Academic Press, 1008pp
  109. Shaik S (2003): Chemistry - A central pillar of human culture. ANGEW CHEM INT EDIT 42 (28): 3208-3215
  110. Nargeot R (2003): Voltage-dependent switching of sensorimotor integration by a lobster central pattern generator. J NEUROSCI 23 (12): 4803-4808
  111. Jones NG, Kemenes I, Kemenes G, et al. (2003): A persistent cellular change in a single modulatory neuron contributes to associative long-term memory. CURR BIOL 13 (12): 1064-1069 JUN 17 2003
  112. Shaik S (2003): Die Chemie - eine zentrale Säule der menschlichen Kultur. Angew. Chem. 115, 3326–3333
  113. Schultz W (2002): "The authors tested the reinforcing effects of dopamine in an in vitro cellular model of..." Evaluation of: [Brembs B et al. Operant reward learning in Aplysia: neuronal correlates and mechanisms. Science. 2002 May 31; 296(5573):1706-9; doi: 10.1126/science.1069434]. Faculty of 1000, 11 Jul 2002. F1000.com/1007610
  114. Menzel R (2002): "This paper analyses for the first time operant reward learning in the mollusc Aplysia at..." Evaluation of: [Brembs B et al. Operant reward learning in Aplysia: neuronal correlates and mechanisms. Science. 2002 May 31; 296(5573):1706-9; doi: 10.1126/science.1069434]. Faculty of 1000, 11 Sep 2002. F1000.com/1007610
  115. Katzoff A, Ben-Gedalya T, and Susswein AJ 2002: Nitric Oxide is necessary for multiple memory processes after learning that a food is inedible in Aplysia. J NEUROSCI 22(21): 9581-9594
  116. Schultz W 2002: Getting formal with dopamine and reward. NEURON 36: 241-263
  117. Carew TJ 2002: Neurobiology - Understanding the consequences. NATURE 417: 803-806
  118. Rankin CH 2002: Neuroscience: A bite to remember. SCIENCE 296 (5573): 1624-1625
Baier A.; Wittek B. and Brembs B. (2002): Drosophila as a new model organism for the neurobiology of aggression? J. Exp. Biol. 205 (9): 1233–1240.
Citations:
  1. Donnelly JL, Clark CM, Leifer AM, Pirri JK, Haburcak M, et al. (2013): Monoaminergic Orchestration of Motor Programs in a Complex C. elegans Behavior. PLoS Biol 11(4): e1001529. doi:10.1371/journal.pbio.1001529
  2. van Alphen B, van Swinderen B (2013): Drosophila strategies to study psychiatric disorders. Brain Res Bull. 92:1-11
  3. Stevenson PA, Schildberger K (2013): Mechanisms of experience dependent control of aggression in crickets. Curr Opin Neurobiol. doi:pii: S0959-4388(13)00069-X. 10.1016/j.conb.2013.03.002. [Epub ahead of print]
  4. Huang Q, Sun P, Zhou X, Lei C (2012): Characterization of Head Transcriptome and Analysis of Gene Expression Involved in Caste Differentiation and Aggression in Odontotermes formosanus (Shiraki). PLoS One. 7(11):e50383
  5. Neckameyer WS, Argue KJ (2012): Comparative Approaches to the Study of Physiology: Drosophila as a Physiologic Tool. Am J Physiol Regul Integr Comp Physiol. 304(3):R177-188
  6. Zwarts L, Clements J, Callaerts P (2012): Deciphering the Adult Brain: From Neuroanatomy to Behavior. In: Hassan BA (ed.):The Making and Un-Making of Neuronal Circuits in Drosophila. Neuromethods 69, pp 3-48 ISBN 978-1-61779-829-0
  7. Stevenson PA, Rillich J (2012): The decision to fight or flee - insights into underlying mechanism in crickets. Front Neurosci. 6:118
  8. Zwarts L, Clements J, Callaerts P (2012): Deciphering the Adult Brain: From Neuroanatomy to Behavior. Neuromethods, 69(1): 3-48, DOI: 10.1007/978-1-61779-830-6_1
  9. Selcho M, Pauls D, Jundi BE, Stocker RF, Thum AS (2012): The role of octopamine and tyramine in Drosophila larval locomotion. J Comp Neurol. 2012 May 24. doi: 10.1002/cne.23152
  10. Zwarts L, Versteven M, Callaerts P (2012): Genetics and neurobiology of aggression in Drosophila. Fly (Austin). 6(1):35-48
  11. Cossío-Bayúgar R, Miranda-Miranda E, Narváez Padilla V, Olvera-Valencia F, Reynaud E (2012): Perturbation of tyraminergic/octopaminergic function inhibits oviposition in the cattle tick Rhipicephalus (Boophilus) microplus. J Insect Physiol. 58(5):628-633
  12. Zwarts L, Magwire MM, Carbone MA, Versteven M, Herteleer L, Anholt RR, Callaerts P, Mackay TF (2011): Complex genetic architecture of Drosophila aggressive behavior. Proc Natl Acad Sci U S A. 108(41):17070-17075
  13. Brooks ES, Greer CL, Romero-Calderón R, Serway CN, Grygoruk A, Haimovitz JM, Nguyen BT, Najibi R, Tabone CJ, Steven de Belle J, Krantz DE (2011): A Putative Vesicular Transporter Expressed in Drosophila Mushroom Bodies that Mediates Sexual Behavior May Define a Neurotransmitter System. Neuron. 72(2):316-329.
  14. Sharon G, Segal D, Zilber-Rosenberg I, Rosenberg E. (2011): Symbiotic bacteria are responsible for diet-induced mating preference in Drosophila melanogaster, providing support for the hologenome concept of evolution. Gut Microbes. 2(3):190-192
  15. Pflüger HJ, Duch C (2011): Dynamic Neural Control of Insect Muscle Metabolism Related to Motor Behavior. Physiology 26:293-303
  16. Jonsson T, Kravitz EA, Heinrich R (2011): Sound production during agonistic behavior of male Drosophila melanogaster. Fly (Austin) 5(1):29-38
  17. Strauss R, Berg C (2010): The Central Control of Oriented Locomotion in Insects - Towards a Neurobiological Model. The 2010 International Joint Conference on Neural Networks (IJCNN), doi: 10.1109/IJCNN.2010.5596461
  18. Bolduc FV, Valente D, Nguyen AT, Mitra PP, Tully T (2010): An assay for social interaction in Drosophila fragile X mutants. Fly (Austin) 4(3).
  19. Verlinden H, Vleugels R, Marchal E, Badisco L, Pflüger HJ, Blenau W, Broeck JV (2010): The role of octopamine in locusts and other arthropods. J Insect Physiol. 56(8):854-867
  20. Börner J, Duch C (2010): An average shape standard atlas for the adult Drosophila ventral nerve cord. J comp. Neurol. 518(13): 2437-2455
  21. Wang L, Anderson DJ (2010): Identification of an aggression-promoting pheromone and its receptor neurons in Drosophila. Nature 463(7278):227-231
  22. Ueda A, Wu CF (2009): Effects of social isolation on neuromuscular excitability and aggressive behaviors in Drosophila: altered responses by Hk and gsts1, two mutations implicated in redox regulation. J. Neurogenet. 23(4):378-294
  23. Edwards AC, Ayroles JF, Stone EA, Carbone MA, Lyman RF, Mackay TF (2009): A transcriptional network associated with natural variation in Drosophila aggressive behavior. Genome Biol. 10(7): R76
  24. Avanesian A, Semnani S, Jafari M (2009): Can Drosophila melanogaster represent a model system for the detection of reproductive adverse drug reactions? Drug Discovery Today 14(15-16): 761-766
  25. Cholewa J, Pflüger HJ (2009): Descending unpaired median neurons with bilaterally symmetrical axons in the suboesophageal ganglion of Manduca sexta larvae. Zoology 112(4): 251-262
  26. Pain SP (2009): Signs of anger: Representation of agonistic behaviour in invertebrate cognition. Biosemiotics 2(2): 181-191
  27. Edwards A, Mackay TF (2009): Quantitative Trait Loci for Aggressive Behavior in Drosophila melanogaster. Genetics. 182(3): 889-897
  28. Edwards AC, Zwarts L, Yamamoto A, Callaerts P, Mackay TF (2009): Mutations in many genes affect aggressive behavior in Drosophila melanogaster. BMC Biol. 7(1):29
  29. Kim YK (2009): Sexual Selection and Aggressive Behavior in Drosophila. In: Kim YK (ed.) Handbook of Behavior Genetics. Springer ISBN 978-0-387-76726-0 (Print) 978-0-387-76727-7 (Online), 317-330
  30. Börner J (2009): Standardized Drosophila ventral nerve cord morphology: Atlas generation and atlas applications. PhD thesis, Freie Universität Berlin, Germany
  31. Kotsyuba, EP (2009): Effect of temperature stress on activities of nitric oxide synthase and tyrosine hydroxylase in the central nervous system of bivalve molluscs. Zh Evol Biokhim Fiziol. 45(1):122-129
  32. Serway CN, Kaufman RR, Strauss R, de Belle JS (2009): Mushroom bodies enhance initial motor activity in Drosophila. J Neurogenet. 23(1):173-184
  33. Iliadi KG (2009): The genetic basis of emotional behavior: has the time come for a Drosophila model? J Neurogenet. 23(1):136-146
  34. Vierk R, Pflueger HJ, Duch C (2009): Differential effects of octopamine and tyramine on the central pattern generator for Manduca flight. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 195(3): 265-277
  35. Johnson O, Becnel J, Nichols CD (2009): Serotonin 5-HT(2) and 5-HT(1A)-like receptors differentially modulate aggressive behaviors in Drosophila melanogaster. Neuroscience 158(4): 1292-1300
  36. Nishimura K, Kitamura Y, Inoue T, Umesono Y, Yoshimoto K, Taniguchi T, Agata K. (2008): Characterization of tyramine beta-hydroxylase in planarian Dugesia japonica: Cloning and expression. Neurochem Int. 53(6-8):184-192
  37. Paquette C, Joplin KH, Seier E, Peyton JT, Moore D (2008): Sex-specific differences in spatial behaviour in the flesh fly Sarcophaga crassipalpis. Physiol. Entomol. 33 (4): 382-388
  38. Potter CJ, Luo L (2008): Octopamine fuels fighting flies. Nat Neurosci. 11: 989-990
  39. Zhou C, Rao Y, Rao Y. (2008): A subset of octopaminergic neurons are important for Drosophila aggression. Nat Neurosci. 11: 1059-1067
  40. Paquette C (2008): Gender-Specific Differences in Spatial Behavior of the Flesh Fly, Sarcophaga crassipalpis. Master's thesis, East Tennessee State University. USA
  41. Cabral LG, Foley BR, Nuzhdin SV (2008): Does Sex Trade with Violence among Genotypes in Drosophila melanogaster? PLoS ONE 3(4): e1986
  42. Wang L, Dankert H, Perona P, Anderson DJ (2008): A common genetic target for environmental and heritable influences on aggressiveness in Drosophila. Proc Natl Acad Sci USA. 105(15): 5657-5663
  43. Dierick HA. (2008): Fly fighting: octopamine modulates aggression. Curr Biol. 18(4):R161-163
  44. Hoyer SC, Eckart A, Herrel A, Zars T, Fischer SA, Hardie SL, Heisenberg M. (2008): Octopamine in male aggression of Drosophila. Curr Biol. 18(3):159-167.
  45. Dierick HA. (2007): A method for quantifying aggression in male Drosophila melanogaster. Nat Protoc. 2(11):2712-2718.
  46. Chan YB, Kravitz EA (2007): Specific subgroups of FruM neurons control sexually dimorphic patterns of aggression in Drosophila melanogaster. Proc Natl Acad Sci USA. 104(49): 19577-19582
  47. Simon AF, Krantz DE. (2007): Road rage and fruit flies. Nat Genet. 39(5): 581-582
  48. Kaun KR, Hendel T, Gerber B, Sokolowski MB. (2007): Natural variation in Drosophila larval reward learning and memory due to a cGMP-dependent protein kinase. Learn Mem. 14(5): 342-349
  49. Dierick HA, Greenspan RJ. (2007): Serotonin and neuropeptide F have opposite modulatory effects on fly aggression. Nat Genet. 39(5):678-682.
  50. Certel SJ, Savella MG, Schlegel DC, Kravitz EA. (2007): Modulation of Drosophila male behavioral choice. Proc Natl Acad Sci USA. 104(11): 4706-4711.
  51. Robin C, Daborn PJ, Hoffmann AA. (2006): Fighting fly genes. Trends Genet. 23(2):51-54
  52. Scott MP. (2006): The role of juvenile hormone in competition and cooperation by burying beetles. J Insect Physiol. 52(10):1005-1011
  53. Edwards AC, Rollmann SM, Morgan TJ, Mackay TFC (2006): Quantitative Genomics of Aggressive Behavior in Drosophila melanogaster. PLoS Genet 2(9): e154
  54. Beaver KM (2006): The Intersection of Genes, the Environment, and Crime and Delinquency: A Longitudinal Study of Offending. Doctoral thesis, University of Cincinnati, Ohio, USA.
  55. Dierick HA, Greenspan RJ. (2006): Molecular analysis of flies selected for aggressive behavior. Nat Genet. 38(9):1023-1031
  56. Yuan Q, Joiner WJ, Sehgal A. (2006): A sleep-promoting role for the Drosophila serotonin receptor 1A. Curr Biol. 16(11):1051-1062
  57. Gonzales E, Hamrick JL, Smouse PE, Dyer RJ. (2006): Pollen-mediated gene dispersal within continuous and fragmented populations of a forest understorey species, Trillium cuneatum. Mol Ecol. 15(8):2047-2058.
  58. Fox LE, Soll DR, Wu CF. (2006): Coordination and modulation of locomotion pattern generators in Drosophila larvae: effects of altered biogenic amine levels by the tyramine Beta hydroxlyase mutation. J Neurosci. 26(5):1486-1498.
  59. Sinakevitch I, Strausfeld NJ. (2006): Comparison of octopamine-like immunoreactivity in the brains of the fruit fly and blow fly. J Comp Neurol. 494(3):460-475
  60. Hoyer SC, Liebig J, Rossler W (2005): Biogenic amines in the ponerine ant Harpegnathos saltator: serotonin and dopamine immunoreactivity in the brain. Arth. Struct. Dev. 34(4): 429-440
  61. Carbone MA, Llopart A, Deangelis M, Coyne JA, Mackay TF. (2005): Quantitative Trait Loci Affecting the Difference in Pigmentation Between Drosophila yakuba and D. santomea.Genetics. 171(1): 211-325.
  62. Blenau W, Baumann A. (2005): Molecular characterization of the ebony gene from the American cockroach, Periplaneta americana. Arch Insect Biochem Physiol. 59(3):184-95.
  63. Svetec N, Ferveur JF. (2005): Social experience and pheromonal perception can change male-male interactions in Drosophila melanogaster. J Exp Biol. 208(Pt 5):891-8.
  64. Stevenson PA, Dyakonova V, Rillich J, Schildberger K. (2005): Octopamine and experience-dependent modulation of aggression in crickets. J Neurosci. 25(6):1431-1441.
  65. Pagé MP, Cooper RL (2004): Novelty stress and reproductive state alters responsiveness to sensory stimuli and 5-HT neuromodulation in crayfish. Comp Biochem Physiol A Mol Integr Physiol. 139(2):149-158
  66. Fox LE, Ueda A, Berke B, Peng IF, Wu CF (2004): Movement disorders in Drosophila mutants of potassium channels and biogenic amine pathways . In: Animal models of movement disorders (LeDoux MS, ed.) , pp. 487–504. San Diego: Academic/Elsevier.
  67. Zhang B, Lu H, Xi W, Zhou X, Xu S, Zhang K, Jiang J, Li Y, Guo A. (2004): Exposure to hypomagnetic field space for multiple generations causes amnesia in Drosophila melanogaster. Neurosci Lett. 371(2-3):190-195.
  68. Banerjee S, Lee J, Venkatesh K, Wu CF, Hasan G (2004): Loss of flight and associated neuronal rhythmicity in inositol 1,4,5-trisphosphate receptor mutants of Drosophila. J. NEUROSCI. 24 (36): 7869-7878
  69. Ye Y, Xi W, Peng Y, Wang Y, Guo A. (2004): Long-term but not short-term blockade of dopamine release in Drosophila impairs orientation during flight in a visual attention paradigm. Eur J Neurosci. 20 (4):1001-1007.
  70. Knaden M, Wehner R (2004): Path integration in desert ants controls aggressiveness. SCIENCE 305 (5680): 60-60
  71. Park DK, Han M, Kim YC, Han KA, Taghert PH (2004): Ap-let neurons - a peptidergic circuit potentially controlling ecdysial behavior in Drosophila. DEV BIOL 269 (1): 95-108
  72. Saraswati S, Fox LE, Soll DR, Wu CF (2004): Tyramine and octopamine have opposite effects on the locomotion of Drosophila larvae. J NEUROBIOL 58 (4): 425-441
  73. Dasari S, Cooper RL (2004): Modulation of sensory-CNS-motor circuits by serotonin, octopamine, and dopamine in semi-intact Drosophila larva. NEUROSCI RES 48 (2): 221-227
  74. Libersat F, Pflueger HJ (2004): Monoamines and the orchestration of behavior. BIOSCIENCE 54 (1): 17-25
  75. Kravitz EA, Huber R (2003): Aggression in invertebrates. CURR OPIN NEUROBIOL 13 (6): 736-743
  76. Monastirioti M (2003): Distinct octopamine cell population residing in the CNS abdominal ganglion controls ovulation in Drosophila melanogaster. DEV BIOL 264 (1): 38-49
  77. Manev H, Dimitrijevic N, Dzitoyeva S (2003): Techniques: Fruit flies as models for neuropharmacological research. TRENDS PHARMACOLSCI 24 (1): 41-43
  78. Chen S, Lee AY, Bowens NM, Huber R, Kravitz EA (2002): Fighting fruit flies: A model system for the study of aggression. PROC NATL ACAD SCI USA 99 (8): 5664-5668
Brembs B.; Wilkinson E.; Reyes F.; Baxter D.A. and Byrne J.H. (2001): Operant conditioning of feeding behavior in Aplysia using self-stimulation. Soc. Neurosci. Abstr. 644.19.
Citations:
  1. Susswein AJ, Hurwitz I, Thorne R, Byrne JH, Baxter DA (2002): Mechanisms underlying fictive feeding in Aplysia: Coupling between a large neuron with plateau potentials activity and a spiking neuron. J. Neurophys. 87 (5): 2307-2323.
Brembs B. (2001): Hamilton's Theory. In: Brenner, S. and Miller, J. (eds) Encyclopedia of Genetics, Academic Press, London, New York; pp. 906-910.
Citations:
  1. Tokumitsu M, Ishida Y (2012): A systemic payoff in a self-repairing network. Artif Life Robotics 16:563–566
  2. Tokumitsu M, Ishida Y (2011): An Adaptive Control Technique for a Connection Weight of Agents in a Self-repairing Network. Self-Organizing Systems. In: Lecture Notes in Computer Science 6557, 44-55
  3. Bar A, Dekker M, Fafchamps M (2010): The formation of community based organizations in sub-Saharan Africa: An analysis of a quasi-experiment. The Centre for the Study of African Economies Working Paper Series: WPS/2010/21
  4. Fafchamps M (2009): Household Separation and Child Well-Being. The Centre for the Study of African Economies Working Paper Series: WPS/2009-12. The Berkeley Electronic Press (bepress).
  5. Bar A, Dekker M, Fafchamps M (2008): Risk Sharing Relations and Enforcement Mechanisms. The Centre for the Study of African Economies Working Paper Series: Paper 294. The Berkeley Electronic Press (bepress).
  6. Fokker J, de Ridder H, Westendorp P, Pouwelse J (2007): Psychological Backgrounds for Inducing Cooperation in Peer-to-Peer Television. Lect. Notes Comp. Sci. 4471, 136-145
  7. Fafchamps M, Wahba J (2006): Child labor, urban proximity, and household composition. J. dev. Econ. 79(2): 374-397.
Heisenberg M.; Wolf R. and Brembs B. (2001): Flexibility in a single behavioral variable of Drosophila. Learn. Mem. 8:1-10.
Citations:
  1. Heisenberg, M. (2013): The Origin of Freedom in Animal Behaviour. 95–103 In: Suarez, Antoine; Adams, Peter (Eds.) Is Science Compatible with Free Will? Is Science Compatible with Free Will? Exploring Free Will and Consciousness in the Light of Quantum Physics and Neuroscience. Springer 312p ISBN 978-1-4614-5212-6
  2. Bekinschtein TA, Peeters M, Shalom D, Sigman M (2012): Sea slugs, subliminal pictures, and vegetative state patients: boundaries of consciousness in classical conditioning. Front Psychol. 2:337
  3. Giurfa M (2012): Social learning in insects: a higher-order capacity? Front Behav Neurosci. 6:57
  4. Iliadi KG, Knight D, Boulianne GL (2012): Healthy aging - insights from Drosophila. Front Physiol. 3:106
  5. Tomina Y, Takahata M (2012): Discrimination learning with light stimuli in restrained American lobster. Behav Brain Res. 229(1):91-105
  6. Valente A, Huang KH, Portugues R, Engert F (2012): Ontogeny of classical and operant learning behaviors in zebrafish. Learn Mem. 19(4):170-177
  7. Giurfa M, Sandoz JC (2012): Invertebrate learning and memory: Fifty years of olfactory conditioning of the proboscis extension response in honeybees. Learn Mem. 19(2):54-66
  8. Bekinschtein TA, Peeters M, Shalom D, Sigman M (2011): Sea slugs, subliminal pictures, and vegetative state patients: boundaries of consciousness in classical conditioning. Front Psychol. 2:337
  9. Kahsai L, Zars T (2011): Learning and memory in Drosophila: behavior, genetics, and neural systems. Int Rev Neurobiol. 99:139-167
  10. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  11. Young JM, Wessnitzer J, Armstrong JD, Webb B (2011): Elemental and non-elemental olfactory learning in Drosophila, Neurobiol Learn Mem. doi: 10.1016/j.nlm.2011.06.009
  12. Sorribes A, Armendariz BG, Lopez-Pigozzi D, Murga C, de Polavieja GG (2011): The Origin of Behavioral Bursts in Decision-Making Circuitry. PLoS Comput Biol 7(6): e1002075
  13. Wu Z, Guo A (2011): A model study on the circuit mechanism underlying decision-making in Drosophila. Neural Netw. 24(4):333-344
  14. Zars T (2010): Short-term memories in Drosophila are governed by general and specific genetic systems. Learn. Mem. 17: 246-251
  15. Schnaitmann C, Vogt K, Triphan T and Tanimoto H (2010): Appetitive and aversive visual learning in freely moving Drosophila. Front. Behav. Neurosci. 4:10. doi:10.3389/fnbeh.2010.00010
  16. Dunlap-Lehtilä AS (2009): Change and Reliability in the Evolution of Learning and Memory. PhD dissertation, University of Minnesota
  17. Pan Y, Zhou Y, Guo C, Gong H, Gong Z, Liu L. (2009): Differential roles of the fan-shaped body and the ellipsoid body in Drosophila visual pattern memory. Learn Mem. 16(5): 289-295
  18. Gross HJ, Pahl M, Si A, Zhu H, Tautz J, Zhang S (2009): Number-based visual generalisation in the honeybee. PLoS ONE. 4(1):e4263
  19. Iliadi KG (2009): The genetic basis of emotional behavior: has the time come for a Drosophila model? J Neurogenet. 23(1):136-146
  20. Menzel R (2009): Working memory in bees: also in flies? J Neurogenet. 23(1):92-99
  21. Pitman JL, Dasgupta S, Krashes MJ, Leung B, Perrat PN, Waddell S. (2009): There are many ways to train a fly. Fly (Austin). 3(1): 3-9
  22. Mustard JA, Edgar EA, Mazade RE, Wu C, Lillvis JL, Wright GA (2008): Acute ethanol ingestion impairs appetitive olfactory learning and odor discrimination in the honey bee. Neurobiol Learn Mem. 90(4):633-643
  23. Xi W, Peng Y, Guo J, Ye Y, Zhang K, Yu F, Gu A (2008): Mushroom bodies modulate salience-based selective fixation behavior in Drosophila. Eur. J. Neurosci 27(6): 1441-1451
  24. Maimon G, Straw AD, Dickinson MH (2008): A Simple Vision-Based Algorithm for Decision Making in Flying Drosophila. Curr. Biol. 18 (6): 464-470
  25. Isabel G, Comas D, Preat T (2007): From Molecule to Memory System: Genetic Analyses in Drosophila. In: Bontempi B, Silva AJ, Christen Y (eds.): Research and Perspectives in Neurosciences: Memories: Molecules and Circuits, 41-57. Springer Berlin Heidelberg
  26. Yurkovic A, Wang O, Basu AC, Kravitz EA. (2006): Learning and memory associated with aggression in Drosophila melanogaster. Proc Natl Acad Sci U S A. 103(46):17519-17524
  27. Dupuy F, Sandoz JC, Giurfa M, Josens R (2006): Individual olfactory learning in Camponotus ants. Anim. Behav. 72: 1081-1091
  28. Zars M, Zars T. (2006): High and low temperatures have unequal reinforcing properties in Drosophila spatial learning. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 192(7):727-735.
  29. Katsov A, Clandinin TR. (2006): Insect vision: remembering the shape of things. Curr Biol. 16(10):R369-371.
  30. Guo J, Guo A. (2005): Crossmodal interactions between olfactory and visual learning in Drosophila. Science. 309(5732):307-310.
  31. Polavieja, GG (2005): Inteligencia en cerebros de un milímetro cúbico. Apuntes de Ciencia y Tecnología, N°16, septiembre de 2005, 28-36
  32. Manev H, Dimitrijevic N. (2005): Fruit flies for anti-pain drug discovery. Life Sci. 76(21):2403-2407.
  33. Zhang B, Lu H, Xi W, Zhou X, Xu S, Zhang K, Jiang J, Li Y, Guo A. (2004): Exposure to hypomagnetic field space for multiple generations causes amnesia in Drosophila melanogaster. Neurosci Lett. 371(2-3):190-195.
  34. Ye Y, Xi W, Peng Y, Wang Y, Guo A. (2004): Long-term but not short-term blockade of dopamine release in Drosophila impairs orientation during flight in a visual attention paradigm. Eur J Neurosci. 20(4):1001-1007.
  35. Tang SM, Wolf R, Xu SP, Heisenberg M (2004): Visual pattern recognition in Drosophila is invariant for retinal position. SCIENCE 305 (5686): 1020-1022
  36. Fentrop N (2003): Auswirkiungen eines defizits des neuronalen Zelladhäsionsmoleküls (NCAM) im Telencephalon auf Lernen, Ged?chtnis und Individualit?t bei einer gentechnisch veränderten Labormaus. PhD thesis, Universität Hamburg, Germany
  37. Schwärzel M (2003): Localizing engrams of olfactory memories in Drosophila. Subcellular organization of appetitive, aversive and extinguished memories? Dissertation, Julius-Maximilians-Universität Würzburg
  38. Siwicki KK, Ladewski L (2003): Associative learning and memory in Drosophila: beyond olfactory conditioning. BEHAV PROCESS 64 (2): 225-238
  39. Wang SP, Li Y, Feng CH, Guo AK (2003): Dissociation of visual associative and motor learning in Drosophila at the flight simulator. BEHAV PROCESS 64 (1): 57-70
  40. Wang SP, Li Y, Feng CH, Guo AK (2003): Behavioral modification in choice process of Drosophila. SCI CHINA SER C 46 (4):399-413
  41. Scherer S, Stocker RF, Gerber B (2003): Olfactory learning in individually assayed Drosophila larvae. Learn. Mem. 10(3): 217-225 MAY-JUN 2003
  42. Heisenberg M (2003) Mushroom Body Memoir: From maps to models. Nat Rev Neurosci 4: 266-275
  43. Schubert M, Lachnit H, Francucci S, Giurfa M (2002): Nonelementalvisual learning in honeybees. ANIM BEHAV 64: 175-184
  44. Wen A, Liu L (2002): Molecular mechanism of learning and memory in Drosophila. PROG BIOCHEM BIOPHYS 29 (5):670-673
  45. Tang SM, Guo A (2001): Choice behavior of Drosophila facing contradictory visual cues. Science 294 (5546):1543-1547
Brembs B. and Heisenberg M. (2001): Conditioning with compound stimuli in Drosophila at the flight simulator. J. Exp. Biol. 204 (16): 2849-2859.
Citations:
  1. Matsumoto Y, Hirashima D, Mizunami M (2013): Analysis and modeling of neural processes underlying sensory preconditioning. Neurobiol Learn Mem. 101C:103-113
  2. Paulk A, Millard SS, van Swinderen B (2012): Vision in Drosophila: Seeing the World Through a Model's Eyes. Annu Rev Entomol. 58:313–332
  3. Milinkeviciute G, Gentile C, Neely GG (2012): Drosophila as a tool for studying the conserved genetics of pain. Clin Genet. 82(4):359-366
  4. van Swinderen B (2011): Attention in Drosophila. Int Rev Neurobiol. 99:51-85
  5. Young JM, Wessnitzer J, Armstrong JD, Webb B (2011): Elemental and non-elemental olfactory learning in Drosophila. Neurobiol Learn Mem. 96(2):339-352
  6. Cammaerts M-C, Rachidi Z, Beke S, Essaadi Y (2011): Use of olfactory and visual cues for orientation by the ant Myrmica ruginodis (Hymenoptera: Formicidae). Myrmecol. News 16: 45-55
  7. Tabone CJ, de Belle JS (2011): Second-order conditioning in Drosophila. Learn Mem.18(4): 250-253
  8. LaBrecque A (2010): Compound Conditioning in Honeybees: No Evidence for Overshadowing in Honeybee Classical Conditioning. Thesis, New College of Florida
  9. Abramson CI, Nolf SL, Mixson TA, Well H (2010): Can Honey Bees Learn the Removal of a Stimulus as a Conditioning Cue? Ethology 116(9): 843–854
  10. Guo AK, Zhang K, Peng YQ, Xi W (2010): Research progress on Drosophila visual cognition in China. SCIENCE CHINA-Life Sciences 53 (3): 374-384
  11. Mizunami M, Unoki S, Mori Y, Hirashima D, Hatano A, Matsumoto Y (2009): Roles of octopaminergic and dopaminergic neurons in appetitive and aversive memory recall in an insect. BMC Biol. 7:46
  12. Dunlap-Lehtilä AS (2009): Change and Reliability in the Evolution of Learning and Memory. PhD dissertation, University of Minnesota
  13. Bolduc FV, Tully T. (2009): Fruit Flies and Intellectual Disability. Fly (Austin). 3(1): 91-104
  14. Smith D, Wessnitzer J, Webb B. (2008): A model of associative learning in the mushroom body. Biol Cybern. 99(2): 89-103
  15. Schubert M (2007): A Comprehensive Study of Olfactory Coding in the Insect Brain, Doctoral thesis, FU Berlin, Germany
  16. Hussaini SA, Komischke B, Menzel R, and Lachnit H (2007): Forward and backward second-order Pavlovian conditioning in honeybees. Learn. Mem. 14:678-683
  17. Hazlett BA (2007): Conditioned reinforcement in the crayfish Orconectes rusticus. Behaviour 144: 847-859
  18. van Swinderen B, Flores KA. (2007): Attention-like processes underlying optomotor performance in a Drosophila choice maze. Dev Neurobiol. 67(2):129-145.
  19. Goel P, Gelperin A. (2006): A neuronal network for the logic of Limax learning. J Comput Neurosci. 21(3):259-270
  20. Yarali A, Hendel T, Gerber B. (2006): Olfactory learning and behaviour are 'insulated' against visual processing in larval Drosophila. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 192(10):1133-1145.
  21. Guo J, Guo A. (2005): Crossmodal interactions between olfactory and visual learning in Drosophila. Science. 309(5732):307-310.
  22. Guerrieri F, Lachnit H, Gerber B, Giurfa M. (2005): Olfactory blocking and odorant similarity in the honeybee. Learn Mem. 12(2): 86-95.
  23. van Swinderen B (2005): The remote roots of consciousness in fruit-fly selective attention? Bioessays, 27 (3): 321-330
  24. Greenspan RJ, van Swinderen B (2004): Cognitive consonance: complex brain functions in the fruit fly and its relatives. Trends Neurosci. 27(12): 707-711.
  25. Siwicki KK, Ladewski L (2003): Associative learning and memory in Drosophila: beyond olfactory conditioning. BEHAV PROCESS 64 (2): 225-238
Baxter D.A.; Cai Y.; Brembs B. and Byrne J.H. (2000): Simulating physiological and morphological properties of neurons with SNNAP (Simulator for Neural Networks and Action Potentials). Soc. Neurosci. Abstr. 26:21.64.
Citations:
  1. Cai, Y; Baxter, DA; Crow, T (2003): Computational Study of Enhanced Excitability in Hermissenda: Membrane Conductances Modulated by 5-HT J Comp Neurosci. 15: 105-121
  2. M Flynn, Y Cai, DA Baxter, T Crow (2003): A Computational Study of the Role of Spike Broadening in Synaptic Facilitation of Hermissenda. J Comp Neurosci. 15, 29-41.
Brembs B. (2000): An Analysis of Associative Learning in Drosophila at the Flight Simulator. Dissertation, Julius Maximilians Universität Würzburg.
Citations:
  1. Ginsburg S, Jablonka E (2007): The Transition to Experiencing: II. The Evolution of Associative Learning Based on Feelings. Biol Theor, 2(3): 231-243
  2. Diegelmann S, Zars M, Zars T. (2006): Genetic dissociation of acquisition and memory strength in the heat-box spatial learning paradigm in Drosophila. Learn Mem. 13(1):72-83.
Brembs B. and Heisenberg M. (2000): The Operant and the classical in conditioned orientation of Drosophila melanogaster at the flight simulator. Learn. Mem. 7:104–115.
Citations:
  1. Zwarts L, Clements J, Callaerts P (2012): Deciphering the Adult Brain: From Neuroanatomy to Behavior. In: Hassan BA (ed.):The Making and Un-Making of Neuronal Circuits in Drosophila. Neuromethods 69, pp 3-48 ISBN 978-1-61779-829-0
  2. Mery F (2012): Natural variation in learning and memory. Curr Opin Neurobiol. 23(1):52-56
  3. Nuwal N, Stock P, Hiemeyer J, Schmid B, Fiala A, Buchner E (2012): Avoidance of Heat and Attraction to Optogenetically Induced Sugar Sensation as Operant Behavior in Adult Drosophila. J Neurogenet. 26 (3-4):298-305
  4. Miller SM, Ngo TT and van Swinderen B (2012): Attentional switching in humans and flies: rivalry in large and miniature brains. Front. Hum. Neurosci. 5:188. doi: 10.3389/fnhum.2011.00188
  5. Guo AK, Zhang K, Peng YQ, Xi W (2010): Research progress on Drosophila visual cognition in China. SCIENCE CHINA-Life Sciences 53 (3): 374-384
  6. Zars T (2010): Short-term memories in Drosophila are governed by general and specific genetic systems. Learn. Mem. 17: 246-251
  7. Sokolowski MBC, Disma G, Abramson CI (2010): A paradigm for operant conditioning in Blow Flies (Phormia terrae novae Robineau-Desvoidy, 1830). J exp. Anal. Behav. 93 (1): 81-89
  8. Claridge-Chang A, Roorda RD, Vrontou E, Sjulson L, Li H, Hirsh J, Miesenböck G. (2009): Writing memories with light-addressable reinforcement circuitry. Cell 139(2):405-415
  9. Bolduc FV, Tully T (2009): Fruit flies and intellectual disability. Fly (Austin). 3(1):91-104
  10. Mizunami M, Unoki S, Mori Y, Hirashima D, Hatano A, Matsumoto Y (2009): Roles of octopaminergic and dopaminergic neurons in appetitive and aversive memory recall in an insect. BMC Biol. 7:46
  11. Dayan P, Huys QJ. (2009): Serotonin in Affective Control. Annu Rev Neurosci. 32: 95-126
  12. Wurbel, H (2009): Ethology applied to animal ethics. Appl Anim Behav Sci. 118 (3-4): 118-127
  13. Seugnet L, Suzuki Y, Stidd R, Shaw PJ. (2009): Aversive Phototaxic Suppression: evaluation of a short-term memory assay in Drosophila melanogaster. Genes Brain Behav. 8(4): 377-389
  14. Pan Y, Zhou Y, Guo C, Gong H, Gong Z, Liu L. (2009): Differential roles of the fan-shaped body and the ellipsoid body in Drosophila visual pattern memory. Learn Mem. 16(5): 289-295
  15. Menzel R (2009): Working memory in bees: also in flies? J Neurogenet. 23(1):92-99
  16. Pitman JL, Dasgupta S, Krashes MJ, Leung B, Perrat PN, Waddell S. (2009): There are many ways to train a fly. Fly (Austin). 3(1): 3-9
  17. Krylov AK, Aleksandrov YI (2007): "Situatedness in an environment" as alternative to stimuli presentation: Model study. Psykhologicheskii Zhurnal 28(2): 106-113
  18. Dupuy F, Sandoz JC, Giurfa M, Josens R (2006): Individual olfactory learning in Camponotus ants. Anim. Behav. 72: 1081-1091
  19. Liu G, Seiler H, Wen A, Zars T, Ito K, Wolf R, Heisenberg M, Liu L. (2006): Distinct memory traces for two visual features in the Drosophila brain. Nature. 439(7076): 551-556
  20. Hayden A (2005): The Role of Learning in the Feeding Behavior of Antlions. PhD thesis, Mount Holyoke College, USA http://hdl.handle.net/10090/4017
  21. Giurfa M, Malun D (2004): Associative mechanosensory conditioning of the proboscis extension reflex in honeybees. Learn. Mem. 11 (3): 294-302
  22. Siwicki KK, Ladewski L (2003): Associative learning and memory in Drosophila: beyond olfactory conditioning. Behav. Process. 64 (2): 225-238
  23. Wang SP, Li Y, Feng CH, Guo AK (2003): Dissociation of visual associative and motor learning in Drosophila at the flight simulator. Behav. Process. 64 (1): 57-70
  24. Wang SP, Tang S, Li Y, Guo AK (2003): Behavioral modification in choice process of Drosophila. SCI CHINA SER C 46 (4): 399-413
  25. Tracey WD, Wilson RI, Laurent G, Benzer S (2003): painless, a Drosophila gene essential for nociception . Cell 113(2): 261-273
  26. Le Bourg E, Buecher C (2002): Learned suppression of photopositive tendencies in Drosophila melanogaster. Anim. Learn. Behav. 30(4): 330-341
  27. Wen A, Liu L (2002): Molecular mechanism of learning and memory in Drosophila. PROG BIOCHEM BIOPHYS 29 (5):670-673
  28. Kisch J (2001): Verhaltens- und elektrophysiologische Untersuchungen zur operanten Konditionierung von Antennenbewegungen der Honigbiene. Doctoral thesis, FU Berlin, Germany.
Cutts C.J.; Brembs B.; Metcalfe N.B. and Taylor A.C. (1999): Prior residence, territory quality and life-history strategies in juvenile Atlantic salmon (Salmo salar L.). J. Fish. Biol. 55: 784-794.
Citations:
  1. Simmons RK, Quinn TP, Seeb LW, Schindler DE, Hilborn R (2013): Summer emigration and resource acquisition within a shared nursery lake by sockeye salmon (Oncorhynchus nerka) from historically discrete rearing environments. Can J Fish Aquat Sci. 70(1): 57-63
  2. Mogensen S, Hutchings JA (2012): Maternal fitness consequences of interactions among agents of mortality in early life of salmonids. Can J Fish Aquat Sci. 69(9): 1539-1555, doi: 10.1139/f2012-071
  3. van Leeuwen TE, Rosenfeld JS, Richards JG (2011): Effects of food ration on SMR: influence of food consumption on individual variation in metabolic rate in juvenile coho salmon (Onchorhynchus kisutch). J Anim Ecol. 81(2): 395-402
  4. van Leeuwen TE, Rosenfeld JS, Richards JG (2011): Failure of physiological metrics to predict dominance in juvenile pacific salmon (Oncorhynchus spp.): Habitat effects on the allometry of growth in dominance hierarchies. Can. J. Fish. Aquat. Sci. 68(10): 1811-1818
  5. Reid D, Armstrong JD, Metcalfe NB (2011): Estimated standard metabolic rate interacts with territory quality and density to determine the growth rates of juvenile Atlantic salmon. Functional Ecology. 25(6): 1360-1367
  6. Kim JW, Grant JWA, Brown GE (2011): Do juvenile Atlantic salmon (Salmo salar) use chemosensory cues to detect and avoid risky habitats in the wild? Can. J. Fish. Aquat. Sci. 68:655-662, 10.1139/f2011-011
  7. Moreau DTR, Fleming IA, Fletcher GL, Brown JA (2011): Growth hormone transgenesis does not influence territorial dominance or growth and survival of first-feeding Atlantic salmon Salmo salar in food-limited stream microcosms. J Fish Biol. DOI: 10.1111/j.1095-8649.2010.02888.x
  8. Kvingedal E, Einum S (2011): Prior residency advantage for Atlantic salmon in the wild: effects of habitat quality. Behav Ecol Sociobiol 65(6): 1295-1303
  9. Jonsson B, Jonsson N (2009): Restoration and Enhancement of Salmonid Populations and Habitats with Special Reference to Atlantic Salmon. International Symposium on Challenges for Diadromous Fishes in a Dynamic Global Environment, JUN 18-21, 2007 Halifax, CANADA: Challenges for diadromius fishes in a dynamic global environment. 69: 497-535
  10. Seiler SM, Keeley ER (2009): Competition between native and introduced salmonid fishes: cutthroat trout have lower growth rate in the presence of cutthroat-rainbow trout hybrids. Can J Fish Aqu Sci. 66 (1): 133-141
  11. Montero D, Lalumera G, Izquierdo MS, Caballero MJ, Saroglia M, Tort L (2009): Establishment of dominance relationships in gilthead sea bream Sparus aurata juveniles during feeding: effects on feeding behaviour, feed utilization and fish health. J Fish Biol. 74 (4): 790-805
  12. Neregård L, Sundt-Hansen L, Björnsson BT, Johnsson JI (2008): Growth hormone affects behaviour of wild brown trout Salmo trutta in territorial owner-intruder conflicts. J Fish Biol. 73 (10): 2341-2351
  13. Jönsson M, Skov C, Kod A, Ander Nilsson P (2008): Temporal clumping of prey and coexistence of unequal interferers: experiments on social forager groups of brown trout feeding on invertebrate drift. Oikos 117(12): 1782-1787
  14. Lelong A, Bolliet V, Bancel D, Gaudin P (2008): Detection of elemental composition and caloric value variability at individual level in newly emerged brown trout Salmo trutta L. J Fish Biol.72 (10): 2695-2699
  15. Seppänen E, Kuukka H, Huuskonen H, Piironen J (2008): Relationship between standard metabolic rate and parasite-induced cataract of juveniles in three Atlantic salmon stocks. J Fish Biol. 72 (7): 1659-1674
  16. Martin AL, Moore PA (2008): The influence of dominance on shelter preference and eviction rates in the crayfish, Orconectes rusticus. Ethology 114 (4): 351-360.
  17. Martin AL (2007): Underlying mechanisms that affect crayfish agonistic interactions and resource acquisition. Doctoral thesis, Bowling Green State University, USA
  18. Schjolden J, Winberg S. (2007): Genetically determined variation in stress responsiveness in rainbow trout: behavior and neurobiology. Brain Behav Evol. 70(4):227-238.
  19. Beckman, BR; Gadberry, B; Parkins, P; Cooper, KA; Arkush, KD (2007): State-dependent life history plasticity in Sacramento River winter-run chinook salmon (Oncorhynchus tshawytscha): interactions among photoperiod and growth modulate smolting and early male maturation. Can. J. Fish. Aquat. Sci. 64 (2): 256-271
  20. Jönsson M (2006): Fluctuating prey availability and coexistence of unequal interferers: experiments on drifting invertebrates and social foraging groups of brown trout (Salmo trutta L.), Master thesis, Lund University, Sweden
  21. Hoffman JI, Trathan PN, Amos W. (2006): Genetic tagging reveals extreme site fidelity in territorial male Antarctic fur seals Arctocephalus gazella. Mol Ecol. 15(12):3841-3847
  22. Jonsson, B; Jonsson, N (2006): Cultured Atlantic salmon in nature: a review of their ecology and interaction with wild fish. ICES J. Mar. Sci. 63 (7): 1162-1181
  23. Hedger, RD; Dodson, JJ; Bergeron, NE; Caron, F (2005): Habitat selection by juvenile Atlantic salmon: the interaction between physical habitat and abundance. J. Fish Biol. 67 (4): 1054-1071
  24. DiBattista JD, Anisman H, Whitehead M, Gilmour KM. (2005): The effects of cortisol administration on social status and brain monoaminergic activity in rainbow trout Oncorhynchus mykiss. J Exp Biol. 208 (14): 2707-2718
  25. Gilmour, KM; DiBattista, JD; Thomas, JB (2005): Physiological Causes and Consequences of Social Status in Salmonid Fish. Int. Comp. Biol. 45 (2) 263273.
  26. Letcher, BH; Dubreuil, T; O'Donnell, MJ; Obedzinski, M; Griswold, K; Nislow, KH (2004): Long-term consequences of variation in timing and manner of fry introduction on juvenile Atlantic salmon (Salmo salar) growth, survival, and life-history expression. Can. J. Fish. Aquat. Sci. 61 (12): 2288-2301
  27. Hoffman, JI; Boyd, IL; Amos, W (2004): Exploring the relationship between parental relatedness and male reproductive success in the antarctic fur seal Arctocephalus
    gazella.
    EVOLUTION, 58 (9): 2087-2099
  28. Weber ED, Fausch KD (2003): Interactions between hatchery and wild salmonids in streams: differences in biology and evidence for competition. CAN J FISH AQUAT SCI 60 (8): 1018-1036
  29. Vollestad LA, Quinn TP (2003): Trade-off between growth rate and aggression in juvenile coho salmon, Oncorhynchus kisutch. ANIM BEHAV 66: 561-568
  30. Harwood AJ, Griffiths SW, Metcalfe NB, et al. (2003): The relative influence of prior residency and dominance on the early feeding behaviour of juvenile Atlantic salmon. ANIM BEHAV 65: 1141-1149
  31. Lewis C, Olive PJW, Bentley MG (2003): Pre-emptive competition as a selective pressure for early reproduction in the polychaete Nereis virens. MARECOL-PROG SER 254: 199-211
  32. Jones M, Laurila A, Peuhkuri N, et al. (2003): Timing an ontogenetic niche shift: responses of emerging salmon alevins to chemical cues from predators and competitors. OIKOS 102 (1): 155-163
  33. Cutts CJ, Metcalfe NB, Taylor AC (2002): Fish may fight rather than feed in a novel environment: metabolic rate and feeding motivation in juvenile Atlantic salmon. J FISH BIOL 61 (6): 1540-1548
  34. Sloman KA, Armstrong JD (2002): Physiological effects of dominance hierarchies: laboratory artefacts or natural phenomena? J FISH BIOL 61: 1-23
  35. Cutts CJ, Metcalfe NB, Taylor AC (2002): Juvenile Atlantic Salmon (Salmo salar) with relatively high standard metabolicrates have small metabolic scopes. FUNCT ECOL 16 (1): 73-78.
  36. Johnsson JI, Forser A (2002): Residence duration influences the outcome of territorial conflicts in brown trout (Salmo trutta). BEHAV ECOL SOCIOBIOL 51 (3): 282-286.
  37. Railsback SF, Harvey, BC (2001): Individual-Based Model Formulation for Cutthroat Trout, Little Jones Creek, California, General Tech. Report PSW-GTR-182, U.S. Forest Service, Pacific Southwest Research Station, Albany, California.
  38. Brown C (2001): Familiarity with the test environment improves escape responses in the crimson spotted rainbowfish, Melanotaenia duboulayi. Anim. Cogn. 4(2): 109 - 113
  39. McCarthy ID (2001): Competitive ability is related to metabolic asymmetry in juvenile rainbow trout. J FISH BIOL 59: 1002-1014
  40. Griffiths SW, Armstrong JD (2001): The benefits of genetic diversity outweigh those of kin association in a territorial animal. P ROY SOC LOND B BIO 268 (1473): 1293-1296
  41. Sloman KA, Taylor AC, Metcalfe NB, Gilmour KM (2001): Effects of an environmental perturbation on the social behaviour and physiological function of brown trout. ANIM BEHAV 61: 325-333
  42. Berg OK, Hendry AP, Svendsen B, Bech C, Arnekleiv JV, Lohrmann A (2001): Maternal provisioning of offspring and the use of those resources during ontogeny: variation within and between Atlantic Salmon families. FUNCT ECOL 15 (1): 13-23
  43. Volpe JP, Anholt BR, Glickman BW (2001): Competition among juvenile Atlantic salmon (Salmo salar) and steelhead (Oncorhynchusmykiss): relevance to invasion potential in British Columbia. Can. J. Fish. Aquat. Sci. 58 (1): 197-207
Brembs B. (1996): Chaos, cheating and cooperation: potential solutions to the Prisoner's Dilemma. OIKOS 76: 14-24.
Citations:
  1. Franco JCA (2011): La conservación de los recursos naturales renovables. Una aproximación desde el estudio de los dilemas sociales. PhD thesis, Universidad Rey Juan Carlos, Departamento de Fundamentos del Análisis Económico
  2. Pomianek C, Palmer CT, Wadley RL, Coe K (2011): Cultural Traditions and the Treatment of Freeriders. J Int Global Stud. 3(1): 1-20
  3. Li J, Hingston P, Kendall G (2011): Engineering Design of Strategies for Winning Iterated Prisoner's Dilemma Competitions. IEEE Transactions on Computational Intelligence and AI in Games 3(4): 348-360, Article number 6004823
  4. Wang RW, Sun BF, Zheng Q, Shi L, Zhu L (2011): Asymmetric interaction and indeterminate fitness correlation between cooperative partners in the fig-fig wasp mutualism. J R Soc Interface. 8(63):1487-1496
  5. Stafford R Davies MS, Williams GA (2011): Cheats in a cooperative behaviour? Behavioural differences and breakdown of cooperative behaviour in aggregating, intertidal littorinids (Mollusca). Marine Ecology. 33(1): 66–74. doi: 10.1111/j.1439-0485.2011.00474.x
  6. Barclay P (2011): Competitive helping increases with the size of biological markets and invades defection. J Theor Biol. 281(1):47-55
  7. Wang RW, Sun BF, Zheng Q, Shi L, Zhu L (2011): Asymmetric interaction and indeterminate fitness correlation between cooperative partners in the fig-fig wasp mutualism. J R Soc Interface. 7, 1487–1496
  8. Dyer M, Mohanaraj V (2011): The Iterated Prisoner's Dilemma on a Cycle. arXiv:1102.3822v1 [cs.GT]
  9. Riedel-Kruse IH, Chung AM, Dura B, Hamilton AL, Lee BC (2011): Design, engineering and utility of biotic games. Lab Chip. 11(1):14-22
  10. Bentley PJ (2009): The game of funding: modelling peer review for research grants. Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, Montreal, Québec, Canada WORKSHOP SESSION: Evolutionary computation and multi-agent systems and simulation (ECoMASS) Pages 2597-2602
  11. Power C (2009): A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community. J Art Soc Soc Sim. 12(1)8
  12. Gardener T; Moffat J (2008): Changing behaviours in defence acquisition: a game theory approach. J. Op. Res. Soc. 59(2): 225-230
  13. Phillips T (2007): The evolution of human altruism towards non-kin through sexual selection. PhD thesis, University of Nottingham, UK
  14. Paolucci M, Conte R (2007): Roost Size for Multilevel Selection of Altruism Among Vampire Bats. In: Multi-Agent-Based Simulation VII, Springer Berlin / Heidelberg
  15. Thibert-Plante X, Charbonneau P. (2007): Crossover and Evolutionary Stability in the Prisoner's Dilemma. Evol Comput. 15(3):321-344
  16. Thibert-Plante X, Parrott L (2007): Prisoner's dilemma and clusters on small-world networks. Complexity 12 (6): 22-36
  17. Seip KL, Wenstøp F (2006): A primer on environmental decision-making. Springer, ISBN 1402040733, 9781402040733
  18. Galaz V (2006): Power in the Commons. The Politics of Water Management Institutions in Sweden and Chile. PhD thesis, Göterborgs Universitet, Sweden.
  19. Garcia J, Hernandez G, Galeano JC (2006): Cooperation, Solution Concepts and Long-term Dynamics in the Iterated Prisoner's Dilemma. IEEE Congress on Evolutionary Computation CEC 2006: 1618 - 1623
  20. Conte R, Paolucci M, Di Tosto G (2006): Vampire Bats & The Micro-Macro Link. In: Billari FC, Fent T, Prskawetz A, Scheffran J (eds.) Agent-Based Computational Modelling - Applications in Demography, Social, Economic and Environmental Sciences. Physica-Verlag HD, Springer.
  21. Fishman MA. (2006): Involuntary defection and the evolutionary origins of empathy. J Theor Biol. 242(4):873-879
  22. Petersen CW (2006): Sexual selection and reproductive success in hermaphroditic seabasses. Int. Comp. Biol. 46 (4): 439-448
  23. Anthes N, Putz A, Michiels NK (2006): Sex role preferences, gender conflict and sperm trading in simultaneous hermaphrodites: a new framework. Anim. Behav. 72: 1-12
  24. Kun A, Boza G, Scheuring I (2006): Asynchronous snowdrift game with synergistic effect as a model of cooperation. Behav. Ecol. 17 (4): 633-641
  25. Corning PA (2005): Holistic Darwinism: Synergy, Cybernetics, and the Bioeconomics of Evolution. University of Chicago Press, 546pp.
  26. Waisel DB (2005): Developing Social Capital in the Operating Room: The Use of Population-based Techniques. Anesthesiology. 103(6):1305-1310
  27. Doebeli M, Hauert C (2005): Models of cooperation based on the Prisoner's Dilemma and the Snowdrift game. ECOLOGY LETTERS 8 (7): 748-766
  28. Kreft JU (2005): Conflicts of interest in biofilms. Biofilms 1: 265-276
  29. Green SP (2004): Cheating. Law Philosoph. 23(2): 137-185
  30. Daniels H (2004): Facultative butterfly-ant interactions – the role of variation in composition of nectar secretions. PhD thesis, University of Bayreuth, Germany
  31. Jang D. Whigham DA, Grant D (2004): On evolving fixed pattern strategies for Iterated Prisoner's Dilemma. Proc. 27th Australasian conf. Comp. sci. - Vol 26. 241 - 247
  32. Gillinson S (2004): Why Cooperate? A Multi-Disciplinary Study of Collective Action. Working paper 234, Overseas Development Institute, London, UK
  33. Allen D, Griffiths L, Lyne P (2004): Understanding complex trajectories in health and social care provision. SOCIOLOGY OF HEALTH & ILLNESS 26 (7): 1008-1030
  34. Jang D, Wigham PA, Dick G (2004): On evolving fixed pattern strategies for Iterated Prisoner's Dilemma. Proceedings of the 27th conference on Australasian computer science 26: 241-247
  35. Gutnisky DA, Zanutto BS (2004): Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms. ARTIFICIAL LIFE 10 (4): 433-461
  36. Foster KR. (2004): Diminishing returns in social evolution: the not-so-tragic commons. J Evol Biol. 17(5):1058-1072.
  37. McNamara JM, Barta Z, Houston AI (2004): Variation in behaviour promotes cooperation in the Prisoner's Dilemma game. NATURE 428 (6984): 745-748
  38. Greig D, Travisano M (2004): The Prisoner's Dilemma and polymorphism in yeast SUC genes. P ROY SOC LOND B BIO 271: S25-S26 Suppl. 3
  39. Wobser G (2003): Produktentwicklung in Kooperation mit Anwendern. In: Enke M (ed) Interaktivs Marketing - Wissenstransfer zwischen Theorie und Praxis. DUV Gabler Edition Wissenschaft.
  40. Mariano P, Correia L (2003): A resource sharing model to study social behaviours. LECT NOTES ARTIF INT 2902: 84-88
  41. Dubois F, Giraldeau LA (2003): The forager's dilemma: Food sharing and food defense as risk-sensitive foraging options. AM NAT 162 (6): 768-779
  42. Gallanger, S, Park, S.H. (2003): Branching out. Potentials, IEEE 22(2): 20-21
  43. Lotem A, Fishman MA, Stone L (2003): From reciprocity to unconditional altruism through signalling benefits. P ROY SOC LOND B BIO 270(1511): 199-205
  44. Simms EL, Taylor DL (2002): Partner choice in nitrogen-fixation mutualisms of legumes and rhizobia. INTEGR COMP BIOL 42:369-380
  45. Mariano P, Correia L (2002): The Effect of Agreements in a Game with Multiple Strategies for Cooperation. In: Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press) 2002. pp 375-378
  46. Bird RB, Bird DW, Smith EA, Kushnick GC (2002): Risk and reciprocity in Meriam food sharing. EVOLUTION AND HUMAN BEHAVIOR 23:297-321
  47. Hare JF, Atkins BA (2001): The squirrel that cried wolf: reliability detection by juvenile Richardson's ground squirrels (Spermophilusrichardsonii). BEHAV ECOL SOCIOBIOL 51: 108-112
  48. Wakano JY, Yamamura N (2001): A simple learning strategy that realizes robust cooperation better than Pavlov in Iterated Prisoners' Dilemma. J ETHOL 19: 1-8
  49. Flache, A, Torenvlied R (2001): Persistent instability in polarized opinion formation and collective decision-making. Paper presented at the fourth Summer School on Polarization and Conflict, July 23–27, San Sebastián, Spain.
  50. Bronstein JL (2001): The exploitation of mutualisms. ECOLLETT 4: 277-287
  51. Wilkinson DM, Sherratt TN. (2001): Horizontally acquired mutualisms, an unsolved problem in ecology? OIKOS 92:377-384
  52. Fishman MA, Lotem A, Stone L (2001): Heterogeneity stabilizes reciprocal altruism interactions J THEOR BIOL 209: 87-95
  53. Sigmund K, Nowak, MA (2000): A Tale of Two Selves. Science 290(5493): 949-950
  54. Sigmund K, Nowak, MA (2000): Shrewd Investments. Science 288(5467): 819-820
  55. Agrawal AA, Fordyce JA (2000): Induced indirect defence in a lycaenid-ant association: the regulation of a resourcein a mutualism. Proc. R. Soc. Lond. Ser. B-Biol. Sci., 267,1857-1861
  56. Bordini RH (1999): Contributions to an anthropological approach to the cultural adaptation of migrant agents. PhD thesis, University College London.
  57. Bazzan ALC, Bordini RH, Campbell JA (1999): Moral sentiments in multi-agent systems. Lect. Note. Artif. Intell.,1555, 113-131.
  58. Sherratt TN, Roberts G (1999): The evolution of quantitatively responsive cooperative trade. J. Theor. Biol., 200, 419-426.
  59. Wilkinson DM (1999): Bacterial ecology, antibiotics and selection for virulence. Ecol. Lett., 2, 207-209.
  60. Bazzan ALC, Bordini RH, Campbell JA (1998): Moral Sentiments in Multi-agent Systems. Paper presented at "Intelligent Agents V. Agent Theories, Architectures, and Languages": 5th International Workshop, ATAL'98, Paris, France
  61. Doebeli M, Knowlton N (1998): The evolution of interspecific mutualisms. Proc. Natl. Acad. Sci. U. S. A., 95, 8676-8680.
  62. Sherratt, TN (1998): The evolution of generosity and choosiness in cooperative exchanges. J. Theor. Biol., 193, 167-177.
  63. Day T, Taylor PD (1998): The evolution of temporal patterns of selfishness, altruism, and group cohesion. Am. Nat.,152, 102-113.
  64. Borges RM (1998): Leviathan, natural selection, and ethics. Curr. Sci., 74, 750-758.
  65. Roberts G (1998): Competitive altruism: from reciprocity to the handicap principle. Proc. R. Soc. Lond. Ser. B-Biol. Sci.,265, 427-431
  66. Wedekind C (1998): Give and Ye Shall Be Recognized. Science 280(5372): 2070-2071
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