A Computational Model of Prefrontal Cortex Function

Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber

Research output: Contribution to conferencePaperpeer-review

25 Scopus citations


Accumulating data from neurophysiology and neuropsychology have suggested two information processing roles for prefrontal cortex (PFC): 1) short-term active memory; and 2) inhibition. We present a new behavioral task and a computational model which were developed in parallel. The task was developed to probe both of these prefrontal functions simultaneously, and produces a rich set of behavioral data that act as constraints on the model. The model is implemented in continuous-time, thus providing a natural framework in which to study the temporal dynamics of processing in the task. We show how the model can be used to examine the behavioral consequences of neuromodulation in PFC. Specifically, we use the model to make novel and testable predictions regarding the behavioral performance of schizophrenics, who are hypothesized to suffer from reduced dopaminergic tone in this brain area.

Original languageEnglish
Number of pages8
StatePublished - 1994
Event7th International Conference on Neural Information Processing Systems, NIPS 1994 - Denver, United States
Duration: Jan 1 1994Jan 1 1994


Conference7th International Conference on Neural Information Processing Systems, NIPS 1994
Country/TerritoryUnited States


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