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Cerebral Cortex Advance Access published online on April 27, 2005
Cerebral Cortex, doi:10.1093/cercor/bhi072
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© The Author 2005. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oupjournals.org

Article

An Integrate-and-fire Model of Prefrontal Cortex Neuronal Activity during Performance of Goal-directed Decision Making

Randal A. Koene 1 and Michael E. Hasselmo 1*

1 Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 64 Cummington Street, Boston, MA 02215, USA

* To whom correspondence should be addressed.
Michael E. Hasselmo, E-mail: hasselmo{at}bu.edu


  Abstract

The orbital frontal cortex appears to be involved in learning the rules of goal-directed behavior necessary to perform the correct actions based on perception to accomplish different tasks. The activity of orbitofrontal neurons changes dependent upon the specific task or goal involved, but the functional role of this activity in performance of specific tasks has not been fully determined. Here we present a model of prefrontal cortex function using networks of integrate-and-fire neurons arranged in minicolumns. This network model forms associations between representations of sensory input and motor actions, and uses these associations to guide goal-directed behavior. The selection of goal-directed actions involves convergence of the spread of activity from the goal representation with the spread of activity from the current state. This spiking network model provides a biological implementation of the action selection process used in reinforcement learning theory. The spiking activity shows properties similar to recordings of orbitofrontal neurons during task performance.

Keywords: learning; minicolumns; orbitofrontal; reinforcement; selective activity.
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