The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers

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Bibliographic Details
Title: The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers
Language: English
Authors: Botvinick, Matthew M., Cohen, Jonathan D.
Source: Cognitive Science. Aug 2014 38(6):1249-1285.
Availability: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Peer Reviewed: Y
Page Count: 37
Publication Date: 2014
Sponsoring Agency: National Science Foundation
National Institute of Mental Health (DHHS)
Contract Number: CRCNS 1207833
R01MH098815-01
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Cognitive Ability, Guidelines, Models, Cognitive Processes, Brain Hemisphere Functions, Computers, Cognitive Science
DOI: 10.1111/cogs.12126
ISSN: 0364-0213
Abstract: Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on cognitive control with new energy and new ideas. On the occasion of the books' anniversary, we review computational modeling in the study of cognitive control, with a focus on the influence that the PDP approach has brought to bear in this area. Rather than providing a comprehensive review, we offer a framework for thinking about past and future modeling efforts in this domain. We define control in terms of the optimal parameterization of task processing. From this vantage point, the development of control systems in the brain can be seen as responding to the structure of naturalistic tasks, through the filter of the brain systems with which control directly interfaces. This perspective lays open a set of fascinating but difficult research questions, which together define an important frontier for future computational research.
Abstractor: As Provided
Entry Date: 2014
Accession Number: EJ1035921
Database: ERIC
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Abstract:Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on cognitive control with new energy and new ideas. On the occasion of the books' anniversary, we review computational modeling in the study of cognitive control, with a focus on the influence that the PDP approach has brought to bear in this area. Rather than providing a comprehensive review, we offer a framework for thinking about past and future modeling efforts in this domain. We define control in terms of the optimal parameterization of task processing. From this vantage point, the development of control systems in the brain can be seen as responding to the structure of naturalistic tasks, through the filter of the brain systems with which control directly interfaces. This perspective lays open a set of fascinating but difficult research questions, which together define an important frontier for future computational research.
ISSN:0364-0213
DOI:10.1111/cogs.12126