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Plos Computational Biology|August 18, 2023
Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasksKim T Blackwell, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|October 10, 2002
Metalearning and neuromodulationKenji DoyaHFSP Journal|May 1, 2009
Reinforcement learning: Computational theory and biological mechanismsKenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|February 11, 2003
Meta-learning in reinforcement learningNicolas Schweighofer, Kenji DoyaBrain and Nerve = Shinkei Kenkyu No Shinpo|July 24, 2008
[Mathematical models of decision making and learning]Makoto Ito, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|November 18, 2008
Finding intrinsic rewards by embodied evolution and constrained reinforcement learningEiji Uchibe, Kenji DoyaAnnals of the New York Academy of Sciences|April 17, 2007
Multiple representations of belief states and action values in corticobasal ganglia loopsKazuyuki Samejima, Kenji DoyaThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 27, 2015
Distinct neural representation in the dorsolateral, dorsomedial, and ventral parts of the striatum during fixed- and free-choice tasksMakoto Ito, Kenji DoyaThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 3, 2007
Understanding neural coding through the model-based analysis of decision makingGreg Corrado, Kenji DoyaPageof 16