Publication Date:
2005-02-19
Description:
The anterior cingulate cortex (ACC) and the related medial wall play a critical role in recruiting cognitive control. Although ACC exhibits selective error and conflict responses, it has been unclear how these develop and become context-specific. With use of a modified stop-signal task, we show from integrated computational neural modeling and neuroimaging studies that ACC learns to predict error likelihood in a given context, even for trials in which there is no error or response conflict. These results support a more general error-likelihood theory of ACC function based on reinforcement learning, of which conflict and error detection are special cases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brown, Joshua W -- Braver, Todd S -- New York, N.Y. -- Science. 2005 Feb 18;307(5712):1118-21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Psychology, CB 1125, Washington University, St. Louis, MO 63130, USA. jwbrown@artsci.wustl.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15718473" target="_blank"〉PubMed〈/a〉
Keywords:
Brain Mapping
;
*Cognition
;
Computer Simulation
;
Conflict (Psychology)
;
Cues
;
Dopamine/physiology
;
Frontal Lobe/cytology/*physiology
;
Gyrus Cinguli/cytology/*physiology
;
Humans
;
*Learning
;
Magnetic Resonance Imaging
;
Models, Neurological
;
Neural Networks (Computer)
;
Neurons/physiology
;
Probability Learning
;
*Psychomotor Performance
;
Reinforcement (Psychology)
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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