[BibTeX] [RIS]
{Computational models of performance monitoring and cognitive control.}
Type of publication: Article
Citation: Alexander2010
Journal: Topics in cognitive science
Volume: 2
Number: 4
Year: 2010
Month: October
Pages: 658--677
ISSN: 1756-8757
URL: http://www.pubmedcentral.nih.g...
DOI: 10.1111/j.1756-8765.2010.01085.x
Abstract: The medial prefrontal cortex (mPFC) has been the subject of intense interest as a locus of cognitive control. Several computational models have been proposed to account for a range of effects including error detection, conflict monitoring, error likelihood prediction, and numerous other effects observed with single-unit neurophysiology, fMRI, and lesion studies. Here we review the state of computational models of cognitive control and offer a new theoretical synthesis of the mPFC as signaling response-outcome predictions. This new synthesis has two interacting components. The first component learns to predict the various possible outcomes of a planned action, and the second component detects discrepancies between the actual and intended responses; the detected discrepancies in turn update the outcome predictions. This single construct is consistent with a wide array of performance monitoring effects in mPFC and suggests a unifying account of the cognitive role of medial PFC in performance monitoring.
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Keywords: anterior cingulate, conflict, decision making, dopamine, error likelihood, errors, medial prefrontal cortex
Authors Alexander, William H
Brown, Joshua W
  • http://www.pubmedcentral.nih.g...
  • http://dx.doi.org/10.1111/j.17...