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Neuron. 2002 Dec 5;36(5):955-68.

Probabilistic decision making by slow reverberation in cortical circuits.

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1
Volen Center for Complex Systems, Brandeis University, Waltham, MA 02254, USA. xjwang@brandeis.edu

Abstract

Recent physiological studies of alert primates have revealed cortical neural correlates of key steps in a perceptual decision-making process. To elucidate synaptic mechanisms of decision making, I investigated a biophysically realistic cortical network model for a visual discrimination experiment. In the model, slow recurrent excitation and feedback inhibition produce attractor dynamics that amplify the difference between conflicting inputs and generates a binary choice. The model is shown to account for salient characteristics of the observed decision-correlated neural activity, as well as the animal's psychometric function and reaction times. These results suggest that recurrent excitation mediated by NMDA receptors provides a candidate cellular mechanism for the slow time integration of sensory stimuli and the formation of categorical choices in a decision-making neocortical network.

PMID:
12467598
[Indexed for MEDLINE]
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