[1P] Poster

[I. Cognitive Science, Computational Theories and AI] Neural Network Modeling and Artificial Intelligence

[1P-290] Modular reinforcement learning and supervised learning integration in the cerebellum through climbing fiber reward prediction errors

*Huu Hoang¹, Shinichiro Tsutsumi², Masanori Matsuzaki³, Masanobu Kano³, Keisuke Toyama¹, Kazuo Kitamura⁴, Mitsuo Kawato⁵ (1. ATR Neural Information Analysis Laboratories, 2. RIKEN Center for Brain Science, 3. Graduate School of Medicine, The University of Tokyo, 4. Graduate School of Interdisciplinary Research, University of Yamanashi, 5. ATR Computational Neuroscience Laboratories)

Keywords:

modular reinforcement learning,supervised learning,cerebellum,climbing fibers

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