Decision Making in Recurrent Neuronal Circuits

Research output: Contribution to journalArticle

Abstract

Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.

Original languageEnglish (US)
Pages (from-to)215-234
Number of pages20
JournalNeuron
Volume60
Issue number2
DOIs
StatePublished - Oct 23 2008

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Choice Behavior
Neuronal Plasticity
Psychological Adaptation
Reward
Cognition
Reaction Time
Decision Making
Economics
Inhibition (Psychology)

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Decision Making in Recurrent Neuronal Circuits. / Wang, Xiao-Jing.

In: Neuron, Vol. 60, No. 2, 23.10.2008, p. 215-234.

Research output: Contribution to journalArticle

Wang, Xiao-Jing. / Decision Making in Recurrent Neuronal Circuits. In: Neuron. 2008 ; Vol. 60, No. 2. pp. 215-234.
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