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- Possible Functions of Neuromodulators in Metalearning ŲŒÇô*1,*2
Kenji Doya
*1
*2
ATR Ġ¤ĔƔÅ°ċ
ATR Human Information Science Laboratories
«Ĉě¶ï¸ŗ CREST
CREST, Japan Science and Technology Corporation
The framework of reinforcement learning captures an essential function of the nervous system: to realize behaviors for
acquisition of reward. Thus the architectures and algorithms of reinforcement learning can provide important clues as to the
organization and functions of the nervous system. Here I report three such examples: 1) a model of the basal ganglia as the
circuit for reinforcement learning; 2) understanding of the specialization and collaboration of the cerebellum, the basal
ganglia, and the cerebral cortex; 3) working hypotheses about the roles neuromodulators in regulating the metaparameters of
reinforcement learning. The concept of reinforcement learning can provide a common ground for interdisciplinary studies.
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MIT Press (1995).
[3] Doya, K.: Complementary roles of basal ganglia and
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basal ganglia, and the cerebral cortex. Neural Networks, 12,
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[5] Doya, K.: Reinforcement learning in continuous time and
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