Probabilistic decision making by slow reverberation in cortical circuits

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)955-968
Number of pages14
Issue number5
StatePublished - Dec 5 2002

ASJC Scopus subject areas

  • General Neuroscience


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