Computational algorithms and neuronal network models underlying decision processes

Authors:
Yutaka Sakai;Hiroshi Okamoto;Tomoki Fukai
Affiliations:
Department of Intelligent Information Systems, Tamagawa University, Tamagawa Gakeun, Tokyo, Japan;Corporate Research Laboratory, Fuji Xerox Co., Ltd., Nakai-machi, Ashigarakami-gun, Kanagawa, Japan;Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan
Venue:
Neural Networks - 2006 Special issue: Neurobiology of decision making
Year:
2006

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Abstract

Animals or humans often encounter such situations in which they must choose their behavioral responses to be made in the near or distant future. Such a decision is made through continuous and bidirectional interactions between the environment surrounding the brain and its internal state or dynamical processes. Therefore, decision making may provide a unique field of researches for studying information processing by the brain, a biological system open to information exchanges with the external world. To make a decision, the brain must analyze pieces of information given externally, past experiences in a similar situation, possible behavioral responses, and predicted outcomes of the individual responses. In this article, we review results of recent experimental and theoretical studies of neuronal substrates and computational algorithms for decision processes.