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Research article summary:
The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity.
Abstract Extract: The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a 'generic' error-processing system associated with the anterior ... (Full abstract text below) Published 2002Oct
in Journal: Psychol Rev
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Psychol Rev.
2002 Oct;109(4):679-709
The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity.
Holroyd CB, Coles MG
Neuroscience Program, University of Illinois at Urbana-Champaign, USA. cholroyd@princeton.edu
The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a "generic" error-processing system associated with the anterior cingulate cortex. The existence of the error-processing system has been inferred from the error-related negativity (ERN), a component of the event-related brain potential elicited when human participants commit errors in reaction-time tasks. The authors propose that the ERN is generated when a negative reinforcement learning signal is conveyed to the anterior cingulate cortex via the mesencephalic dopamine system and that this signal is used by the anterior cingulate cortex to modify performance on the task at hand. They provide support for this proposal using both computational modeling and psychophysiological experimentation.
PMID : 12374324 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Clay B | Holroyd | CB |
| Michael G H | Coles | MG |
Affiliation: Neuroscience Program, University of Illinois at Urbana-Champaign, USA. cholroyd@princeton.edu
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