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J Neurophysiol 102: 1-6, 2009. First published April 29, 2009; doi:10.1152/jn.00239.2009
0022-3077/09 $8.00
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Neuro Forum

Dynamical Foundations of the Neural Circuit for Bayesian Decision Making

Kenji Morita

RIKEN Brain Science Institute, Wako, Japan

ABSTRACT

On the basis of accumulating behavioral and neural evidences, it has recently been proposed that the brain neural circuits of humans and animals are equipped with several specific properties, which ensure that perceptual decision making implemented by the circuits can be nearly optimal in terms of Bayesian inference. Here, I introduce the basic ideas of such a proposal and discuss its implications from the standpoint of biophysical modeling developed in the framework of dynamical systems.


Address for reprint requests and other correspondence: K. Morita, Department of Cognitive Neuroscience, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan (E-mail: kmorita{at}m.u-tokyo.ac.jp)







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