{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. |
Userfields: | bdsk-url-1={http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3044326%5C&tool=pmcentrez%5C&rendertype=abstract}, bdsk-url-2={http://dx.doi.org/10.1111/j.1756-8765.2010.01085.x}, date-added={2012-08-21 14:16:29 +0200}, date-modified={2012-08-21 14:16:29 +0200}, file={:Users/ana-maria/Desktop/BPapers/Control/alexander\_10.pdf:pdf}, pmid={21359126}, project={fremdliteratur}, |
Keywords: | anterior cingulate, conflict, decision making, dopamine, error likelihood, errors, medial prefrontal cortex |
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