Supplementary Eye Field Encodes Reward Prediction Error
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[1] R. Rescorla,et al. A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement , 1972 .
[2] S. Kakade,et al. Learning and selective attention , 2000, Nature Neuroscience.
[3] W. Schultz,et al. Adaptive Coding of Reward Value by Dopamine Neurons , 2005, Science.
[4] P. Holland,et al. Amygdala circuitry in attentional and representational processes , 1999, Trends in Cognitive Sciences.
[5] Veit Stuphorn,et al. Role of supplementary eye field in saccade initiation: executive, not direct, control. , 2010, Journal of neurophysiology.
[6] M. J. Friedlander,et al. The time course and amplitude of EPSPs evoked at synapses between pairs of CA3/CA1 neurons in the hippocampal slice , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[7] Joseph J. Paton,et al. Expectation Modulates Neural Responses to Pleasant and Aversive Stimuli in Primate Amygdala , 2007, Neuron.
[8] Guillem R. Esber,et al. Neural Correlates of Variations in Event Processing during Learning in Basolateral Amygdala , 2010, The Journal of Neuroscience.
[9] J. Pearce,et al. A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. , 1980, Psychological review.
[10] Leslie G. Ungerleider,et al. Increased Activity in Human Visual Cortex during Directed Attention in the Absence of Visual Stimulation , 1999, Neuron.
[11] John K Kruschke,et al. Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.
[12] K. Preuschoff,et al. Adding Prediction Risk to the Theory of Reward Learning , 2007, Annals of the New York Academy of Sciences.
[13] Keiji Tanaka,et al. Medial prefrontal cell activity signaling prediction errors of action values , 2007, Nature Neuroscience.
[14] M. Pelley. The Role of Associative History in Models of Associative Learning: A Selective Review and a Hybrid Model: , 2004 .
[15] R. Solomon,et al. An opponent-process theory of motivation. I. Temporal dynamics of affect. , 1974, Psychological review.
[16] Daeyeol Lee,et al. Behavioral and Neural Changes after Gains and Losses of Conditioned Reinforcers , 2009, The Journal of Neuroscience.
[17] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[18] Jung Hoon Sul,et al. Distinct Roles of Rodent Orbitofrontal and Medial Prefrontal Cortex in Decision Making , 2010, Neuron.
[19] Uwe Mattler,et al. Combined Expectancy Effects are Modulated by the Relation between Expectancy Cues , 2004, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[20] M. Platt,et al. Risk-sensitive neurons in macaque posterior cingulate cortex , 2005, Nature Neuroscience.
[21] Angela J. Yu,et al. Uncertainty, Neuromodulation, and Attention , 2005, Neuron.
[22] Simon Hong,et al. The Globus Pallidus Sends Reward-Related Signals to the Lateral Habenula , 2008, Neuron.
[23] S. Ochs. Integrative Activity of the Brain: An Interdisciplinary Approach , 1968 .
[24] Takamitsu Sawa,et al. Information criteria for discriminating among alternative regression models / BEBR No. 455 , 1978 .
[25] O. Hikosaka,et al. Lateral habenula as a source of negative reward signals in dopamine neurons , 2007, Nature.
[26] Timothy E. J. Behrens,et al. Learning the value of information in an uncertain world , 2007, Nature Neuroscience.
[27] M. Nicolelis,et al. Neuronal Ensemble Bursting in the Basal Forebrain Encodes Salience Irrespective of Valence , 2008, Neuron.
[28] Jung Hoon Sul,et al. Role of Striatum in Updating Values of Chosen Actions , 2009, The Journal of Neuroscience.
[29] H. Seo,et al. Temporal Filtering of Reward Signals in the Dorsal Anterior Cingulate Cortex during a Mixed-Strategy Game , 2007, The Journal of Neuroscience.
[30] Clay B. Holroyd,et al. The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. , 2002, Psychological review.
[31] L. Wasserman,et al. A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion , 1995 .
[32] O. Hikosaka,et al. Two types of dopamine neuron distinctly convey positive and negative motivational signals , 2009, Nature.
[33] M. Roesch,et al. Neuronal activity in macaque SEF and ACC during performance of tasks involving conflict. , 2005, Journal of neurophysiology.
[34] O. Hikosaka,et al. Representation of negative motivational value in the primate lateral habenula , 2009, Nature Neuroscience.
[35] Philippe Mailly,et al. Relationship between the corticostriatal terminals from areas 9 and 46, and those from area 8A, dorsal and rostral premotor cortex and area 24c: an anatomical substrate for cognition to action , 2007, The European journal of neuroscience.
[36] W. Schultz,et al. Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons , 2003, Science.
[37] R. Luce. Utility of Gains and Losses: Measurement-Theoretical and Experimental Approaches , 2000 .
[38] V. Barnett,et al. Applied Linear Statistical Models , 1975 .
[39] Michael H. Kutner. Applied Linear Statistical Models , 1974 .
[40] J Schlag,et al. Reward-predicting and reward-detecting neuronal activity in the primate supplementary eye field. , 2000, Journal of neurophysiology.
[41] V. Stuphorn,et al. Supplementary eye field encodes option and action value for saccades with variable reward. , 2010, Journal of neurophysiology.
[42] R. Solomon,et al. An Opponent-Process Theory of Motivation , 1978 .
[43] Claus C. Hilgetag,et al. Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala , 2007, NeuroImage.
[44] W. Schultz,et al. Relative reward preference in primate orbitofrontal cortex , 1999, Nature.
[45] Benjamin Y. Hayden,et al. Posterior Cingulate Cortex Mediates Outcome-Contingent Allocation of Behavior , 2008, Neuron.
[46] Eric Chown,et al. Cognitive Modeling , 2014, Computing Handbook, 3rd ed..
[47] A. Cooper,et al. Predictive Reward Signal of Dopamine Neurons , 2011 .
[48] M. L. Le Pelley. The Role of Associative History in Models of Associative Learning: A Selective Review and a Hybrid Model , 2004, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.
[49] S. Quartz,et al. Neural Differentiation of Expected Reward and Risk in Human Subcortical Structures , 2006, Neuron.
[50] J. Schall,et al. Performance monitoring by the supplementary eye ® eld , 2000 .
[51] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[52] J. Pearce,et al. A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli. , 1980 .
[53] J. Kaas,et al. Supplementary eye field as defined by intracortical microstimulation: Connections in macaques , 1990, The Journal of comparative neurology.