A Reinforcement Learning Model with Dynamic State Space Reproduces Functional Differentiation of the Higher Motor Cortices

Naoki Masamune Tamura

[1P-310] A Reinforcement Learning Model with Dynamic State Space Reproduces Functional Differentiation of the Higher Motor Cortices

*Naoki Masamune Tamura¹, Hajime Mushiake¹, Kazuhiro Sakamoto^1,2 (1. Department of Physiology, Tohoku University School of Medicine, 2. Department of Neuroscience, Faculty of Medicine, Tohoku Medical and Pharmaceutical University)

Keywords:HIGHER BRAIN FUNCTION, REINFORCEMENT LEARNING, DECISION UNIQUENESS, DYNAMIC STATE

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[1P] G. Modeling, Hardware Implementation, and Applications

[1P-310] A Reinforcement Learning Model with Dynamic State Space Reproduces Functional Differentiation of the Higher Motor Cortices

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