Dual exploration strategies using artificial spiking neural networks in a robotic learning task
暂无分享,去创建一个
Frédéric Thériault | Julie Morand-Ferron | André Cyr | André Cyr | Frédéric Thériault | J. Morand‐Ferron
[1] M. Giurfa. Cognition with few neurons: higher-order learning in insects , 2013, Trends in Neurosciences.
[2] Kostis P. Michmizos,et al. Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system , 2018, ArXiv.
[3] Simon Benhamou,et al. Spatial memory and animal movement. , 2013, Ecology letters.
[4] S. Bertram,et al. Spatial cognitive performance is linked to thigmotaxis in field crickets , 2019, Animal Behaviour.
[5] Mounir Boukadoum,et al. Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller , 2014, Front. Neurorobot..
[6] N. Boogert,et al. Personality, plasticity and predictability in sticklebacks: bold fish are less plastic and more predictable than shy fish , 2019, Animal Behaviour.
[7] S. Hamilton. From a sea of phenotypic traits, fast reaction and boldness emerge as the most influential to survival in marine fish , 2018 .
[8] G. A. Clark,et al. Operant Conditioning of Gill Withdrawal in Aplysia , 2006, The Journal of Neuroscience.
[9] E. Carvalho-Netto,et al. Aversion in the elevated plus-maze: Role of visual and tactile cues , 2014, Behavioural Processes.
[10] Randall D. Beer,et al. The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment , 1997, Trends in Neurosciences.
[11] Y. Dan,et al. Spike timing-dependent plasticity: a Hebbian learning rule. , 2008, Annual review of neuroscience.
[12] L. Chittka,et al. Information processing in miniature brains , 2011, Proceedings of the Royal Society B: Biological Sciences.
[13] Daniel T. Blumstein,et al. Quantifying personality in the terrestrial hermit crab: Different measures, different inferences , 2012, Behavioural Processes.
[14] James R. White,et al. A Comparison of Measures of Boldness and Their Relationships to Survival in Young Fish , 2013, PloS one.
[15] Siddharth Gaikwad,et al. Understanding spatio-temporal strategies of adult zebrafish exploration in the open field test , 2012, Brain Research.
[16] S. Morato,et al. Thigmotactic responses in an open-field. , 2008, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.
[17] Barbara Webb,et al. The internal maps of insects , 2019, Journal of Experimental Biology.
[18] G. Audesirk,et al. One-trial reward learning in the snail Lymnea stagnalis. , 1984, Journal of neurobiology.
[19] Jeffrey L. Krichmar,et al. Neurorobotics—A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots , 2018, Front. Neurorobot..
[20] W. Schultz. Predictive reward signal of dopamine neurons. , 1998, Journal of neurophysiology.
[21] Henning Sprekeler,et al. Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity , 2010, The Journal of Neuroscience.
[22] Brian R. Tietz,et al. Deciding Which Way to Go: How Do Insects Alter Movements to Negotiate Barriers? , 2012, Front. Neurosci..
[23] Florentin Wörgötter,et al. Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation , 2014, Inf. Sci..
[24] Ioannis M. Kyprianidis,et al. Experimental investigation on coverage performance of a chaotic autonomous mobile robot , 2013, Robotics Auton. Syst..
[25] F. Gherardi,et al. Behavioral plasticity, behavioral syndromes and animal personality in crustacean decapods: An imperfect map is better than no map , 2012 .
[26] Yongxiang Zhang,et al. Bright lighting conditions during testing increase thigmotaxis and impair water maze performance in BALB/c mice , 2012, Behavioural Brain Research.
[27] Vivek Jayaraman,et al. Studying small brains to understand the building blocks of cognition , 2016, Current Opinion in Neurobiology.
[28] P. Pauli,et al. A Human Open Field Test Reveals Thigmotaxis Related to Agoraphobic Fear , 2016, Biological Psychiatry.
[29] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[30] F. Wörgötter,et al. Self-organized adaptation of a simple neural circuit enables complex robot behaviour , 2010, ArXiv.
[31] A. Cronin. Individual and Group Personalities Characterise Consensus Decision‐Making in an Ant , 2015 .
[32] Ella F Cole,et al. Studying the evolutionary ecology of cognition in the wild: a review of practical and conceptual challenges , 2016, Biological reviews of the Cambridge Philosophical Society.
[33] N. Dingemanse,et al. Integrating animal temperament within ecology and evolution , 2007, Biological reviews of the Cambridge Philosophical Society.
[34] A. Avarguès-Weber,et al. Sameness/difference spiking neural circuit as a relational concept precursor model: A bio-inspired robotic implementation , 2017, BICA 2017.
[35] S. Healy,et al. Environmental enrichment enhances spatial cognition in rats by reducing thigmotaxis (wall hugging) during testing , 2009, Animal Behaviour.
[36] B. Brembs. Operant conditioning in invertebrates , 2003, Current Opinion in Neurobiology.
[37] Su Guo,et al. Identification of environmental stressors and validation of light preference as a measure of anxiety in larval zebrafish , 2016, BMC Neuroscience.
[38] André Cyr,et al. Action Selection and Operant Conditioning: A Neurorobotic Implementation , 2015, J. Robotics.
[39] Pierre Poirier,et al. AI-SIMCOG: a simulator for spiking neurons and multiple animats’ behaviours , 2009, Neural Computing and Applications.
[40] E. Fernández-Juricic,et al. Individual variation in behavioural plasticity: direct and indirect effects of boldness, exploration and sociability on habituation to predators in lizards , 2011, Proceedings of the Royal Society B: Biological Sciences.
[41] Joël Fagot,et al. First trial rewards promote 1-trial learning and prolonged memory in pigeon and baboon , 2009, Proceedings of the National Academy of Sciences.
[42] N. Dochtermann,et al. Multiple Facets of Exploratory Behavior in House Crickets (Acheta domesticus): Split Personalities or Simply Different Behaviors? , 2014 .
[43] N. Ravaja,et al. Twenty-three generations of mice bidirectionally selected for open-field thigmotaxis: Selection response and repeated exposure to the open field , 2006, Behavioural Processes.
[44] M. Giurfa. Learning and cognition in insects. , 2015, Wiley interdisciplinary reviews. Cognitive science.
[45] Clint J. Perry,et al. Invertebrate learning and cognition: relating phenomena to neural substrate. , 2013, Wiley interdisciplinary reviews. Cognitive science.
[46] Ezequiel A. Di Paolo,et al. Evolving spike-timing-dependent plasticity for single-trial learning in robots , 2003 .
[47] Wofgang Maas,et al. Networks of spiking neurons: the third generation of neural network models , 1997 .
[48] J. Stamps,et al. Individual differences in behavioural plasticities , 2016, Biological reviews of the Cambridge Philosophical Society.
[49] Guy Theraulaz,et al. The Embodiment of Cockroach Aggregation Behavior in a Group of Micro-robots , 2008, Artificial Life.
[50] H. Markram,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.
[51] B. Webb. Neural mechanisms for prediction: do insects have forward models? , 2004, Trends in Neurosciences.
[52] G. Bi,et al. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.
[53] Angelo Cangelosi,et al. A review of abstract concept learning in embodied agents and robots , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.
[54] J. Deneubourg,et al. The role of personality variation, plasticity and social facilitation in cockroach aggregation , 2018, Biology Open.