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Biologically Based Computational Models of High-Level Cognition
Randall C. O'Reilly
Computer models based on the detailed biology of the brain canhelp us understand the myriad complexities of human cognitionand intelligence. Here, we review models of the higher levelaspects of human intelligence, which depend critically on theprefrontal cortex and associated subcortical areas. The pictureemerging from a convergence of detailed mechanistic models andmore abstract functional models represents a synthesis betweenanalog and digital forms of computation. Specifically, the needfor robust active maintenance and rapid updating of informationin the prefrontal cortex appears to be satisfied by bistableactivation states and dynamic gating mechanisms. These mechanismsare fundamental to digital computers and may be critical forthe distinctive aspects of human intelligence.
Department of Psychology, University of Colorado Boulder, Boulder, CO 80309, USA.
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INTRODUCTION TO SPECIAL ISSUE
Peter Stern and John Travis (6 October 2006) Science314 (5796), 75.
[DOI: 10.1126/science.314.5796.75] |Summary »|PDF »
NEWS
Greg Miller (6 October 2006) Science314 (5796), 76.
[DOI: 10.1126/science.314.5796.76] |Summary »|Full Text »|PDF »
NEWS
Ingrid Wickelgren (6 October 2006) Science314 (5796), 78.
[DOI: 10.1126/science.314.5796.78] |Summary »|Full Text »|PDF »
REVIEW
Andreas V. M. Herz, Tim Gollisch, Christian K. Machens, and Dieter Jaeger (6 October 2006) Science314 (5796), 80.
[DOI: 10.1126/science.1127240] |Abstract »|Full Text »|PDF »
REVIEW
Alain Destexhe and Diego Contreras (6 October 2006) Science314 (5796), 85.
[DOI: 10.1126/science.1127241] |Abstract »|Full Text »|PDF »
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