Emergent structured transition from variation to repetition in a biologically-plausible model of learning in basal ganglia
暂无分享,去创建一个
[1] J. Wickens,et al. Computational models of the basal ganglia: from robots to membranes , 2004, Trends in Neurosciences.
[2] 三嶋 博之. The theory of affordances , 2008 .
[3] D. Fum,et al. Dissociable processes underlying decisions in the Iowa Gambling Task: a new integrative framework , 2009, Behavioral and Brain Functions.
[4] J. Tepper,et al. Inhibitory control of neostriatal projection neurons by GABAergic interneurons , 1999, Nature Neuroscience.
[5] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 2005, IEEE Transactions on Neural Networks.
[6] Jonathan D. Cohen,et al. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. , 2006, Psychological review.
[7] R. Shaw,et al. Perceiving, Acting and Knowing : Toward an Ecological Psychology , 1978 .
[8] M D Humphries,et al. The role of intra-thalamic and thalamocortical circuits in action selection , 2002, Network.
[9] Richard S. Sutton,et al. Temporal credit assignment in reinforcement learning , 1984 .
[10] J. Movshon,et al. The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[11] R. Ammons,et al. Acquisition of motor skill: III. Effects of initially distributed practice on rotary pursuit performance. , 1950, Journal of experimental psychology.
[12] Richard S. Sutton,et al. Landmark learning: An illustration of associative search , 1981, Biological Cybernetics.
[13] Stephen Marsland,et al. Using habituation in machine learning , 2009, Neurobiology of Learning and Memory.
[14] Kevin Gurney,et al. Optimal decision-making in mammals: insights from a robot study of rodent texture discrimination , 2012, Journal of The Royal Society Interface.
[15] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[16] M. Shadlen,et al. Neural Activity in Macaque Parietal Cortex Reflects Temporal Integration of Visual Motion Signals during Perceptual Decision Making , 2005, The Journal of Neuroscience.
[17] Angela J. Yu,et al. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[18] Andrew G. Barto,et al. An intrinsic reward mechanism for efficient exploration , 2006, ICML.
[19] Daniel M. Wolpert,et al. Signal-dependent noise determines motor planning , 1998, Nature.
[20] Christos Dimitrakakis,et al. Nearly Optimal Exploration-Exploitation Decision Thresholds , 2006, ICANN.
[21] A G Barto,et al. Learning by statistical cooperation of self-interested neuron-like computing elements. , 1985, Human neurobiology.
[22] A. Barto,et al. Effect on movement selection of an evolving sensory representation: A multiple controller model of skill acquisition , 2009, Brain Research.
[23] Andrew G. Barto,et al. Intrinsic Motivation and Reinforcement Learning , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[24] Mark D. Humphries,et al. A robot model of the basal ganglia: Behavior and intrinsic processing , 2006, Neural Networks.
[25] P. Redgrave,et al. The path to learning: Action acquisition is impaired when visual reinforcement signals must first access cortex , 2013, Behavioural Brain Research.
[26] Richard S. Sutton,et al. Associative search network: A reinforcement learning associative memory , 1981, Biological Cybernetics.
[27] J. Mink. THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION OF COMPETING MOTOR PROGRAMS , 1996, Progress in Neurobiology.
[28] P. Redgrave,et al. What is reinforced by phasic dopamine signals? , 2008, Brain Research Reviews.
[29] Eytan Ruppin,et al. Actor-critic models of the basal ganglia: new anatomical and computational perspectives , 2002, Neural Networks.
[30] P. Redgrave,et al. Functional properties of the basal ganglia's re-entrant loop architecture: selection and reinforcement , 2011, Neuroscience.
[31] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[32] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[33] Morten H. Christiansen,et al. A computational model , 2014 .
[34] Francesco Mannella,et al. Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. , 2013, Neural networks : the official journal of the International Neural Network Society.
[35] Marco Mirolli,et al. Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study , 2013, Neural Networks.
[36] RuppinEytan,et al. Actor-critic models of the basal ganglia , 2002 .
[37] Kevin Gurney,et al. No learning where to go without first knowing where you're coming from: action discovery is trajectory, not endpoint based , 2013, Front. Psychol..
[38] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[39] R. Andersen,et al. Intentional maps in posterior parietal cortex. , 2002, Annual review of neuroscience.
[40] A P Georgopoulos,et al. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[41] Kevin Gurney,et al. Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[42] Vijaykumar Gullapalli,et al. A stochastic reinforcement learning algorithm for learning real-valued functions , 1990, Neural Networks.
[43] Kevin Gurney,et al. A Novel Behavioural Task for Researching Intrinsic Motivations , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[44] P. Dayan,et al. Cortical substrates for exploratory decisions in humans , 2006, Nature.
[45] E. Thorndike. Animal Intelligence; Experimental Studies , 2009 .
[46] Michael L. Platt,et al. Neural correlates of decision variables in parietal cortex , 1999, Nature.
[47] Gianluca Baldassarre,et al. What are intrinsic motivations? A biological perspective , 2011, 2011 IEEE International Conference on Development and Learning (ICDL).
[48] Wim Vanduffel,et al. Should I Stay or Should I Go? , 2016, Neuron.
[49] J. Deniau,et al. Disinhibition as a basic process in the expression of striatal functions , 1990, Trends in Neurosciences.
[50] Michael T. Rosenstein,et al. Supervised Actor‐Critic Reinforcement Learning , 2012 .
[51] T D Lee,et al. Distribution of practice in motor skill acquisition: different effects for discrete and continuous tasks. , 1989, Research quarterly for exercise and sport.
[52] Pierre-Yves Oudeyer,et al. Information-seeking, curiosity, and attention: computational and neural mechanisms , 2013, Trends in Cognitive Sciences.
[53] P. Dayan,et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.
[54] J. Wickens. Synaptic plasticity in the basal ganglia , 2009, Behavioural Brain Research.
[55] Alan D. Baddeley,et al. The influence of length and frequency of training session on the rate of learning to type. , 1978 .
[56] Jonathan M. Chambers,et al. Modelling Natural Action Selection: Mechanisms of choice in the primate brain: a quick look at positive feedback , 2011 .
[57] Kevin Gurney,et al. A Novel Task for the Investigation of Action Acquisition , 2012, PloS one.
[58] H. Seung,et al. Group report: Microcircuits, molecules, and motivated behavior--Microcircuits in the striatum , 2006 .
[59] Peter Redgrave,et al. A computational model of action selection in the basal ganglia. I. A new functional anatomy , 2001, Biological Cybernetics.
[60] B. Roche,et al. The Behavior of Organisms? , 1997 .
[61] W. Brown. Animal Intelligence: Experimental Studies , 1912, Nature.
[62] Mitsuo Kawato,et al. Feedback-Error-Learning Neural Network for Supervised Motor Learning , 1990 .
[63] P. Anandan,et al. Pattern-recognizing stochastic learning automata , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[64] Joel L. Davis,et al. A Model of How the Basal Ganglia Generate and Use Neural Signals That Predict Reinforcement , 1994 .
[65] Paolo Calabresi,et al. Dopamine-mediated regulation of corticostriatal synaptic plasticity , 2007, Trends in Neurosciences.
[66] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[67] Kevin Gurney,et al. Dopamine-mediated action discovery promotes optimal behavior ‘for free’ , 2011, BMC Neuroscience.
[68] Stuart J. Russell,et al. Bayesian Q-Learning , 1998, AAAI/IAAI.
[69] Kevin Gurney,et al. The Role of the Basal Ganglia in Discovering Novel Actions , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[70] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[71] Karl F. Stock,et al. A COMPUTATIONAL MODEL , 2011 .
[72] Peter Redgrave,et al. A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour , 2001, Biological Cybernetics.
[73] Giovanni Pezzulo,et al. A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning. , 2013, Neural networks : the official journal of the International Neural Network Society.