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• W2085758009 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." @default.
• W2085758009 created "2016-06-24" @default.
• W2085758009 creator A5059387763 @default.
• W2085758009 date "2009-07-01" @default.
• W2085758009 modified "2023-09-25" @default.
• W2085758009 title "Dynamical Foundations of the Neural Circuit for Bayesian Decision Making" @default.
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• W2085758009 doi "https://doi.org/10.1152/jn.00239.2009" @default.
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