Prefrontal cortex and flexible cognitive control: Rules without symbols | Zendy

Nicolas P. Rougier | Zendy; David C. Noelle | Zendy; Todd S. Braver | Zendy; Jonathan D. Cohen | Zendy; Randall C. O’Reilly | Zendy

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Prefrontal cortex and flexible cognitive control: Rules without symbols

Author(s) -

Nicolas P. Rougier,

David C. Noelle,

Todd S. Braver,

Jonathan D. Cohen,

Randall C. O’Reilly

Publication year - 2005

Publication title -

proceedings of the national academy of sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.011

H-Index - 771

eISSN - 1091-6490

pISSN - 0027-8424

DOI - 10.1073/pnas.0502455102

Subject(s) - prefrontal cortex , stroop effect , generalization , card sorting , set (abstract data type) , cognition , computer science , task (project management) , control (management) , benchmark (surveying) , wisconsin card sorting test , neuroscience , task switching , cognitive psychology , psychology , cognitive science , artificial intelligence , engineering , mathematics , mathematical analysis , programming language , systems engineering , geodesy , neuropsychology , geography

Human cognitive control is uniquely flexible and has been shown to depend on prefrontal cortex (PFC). But exactly how the biological mechanisms of the PFC support flexible cognitive control remains a profound mystery. Existing theoretical models have posited powerful task-specific PFC representations, but not how these develop. We show how this can occur when a set of PFC-specific neural mechanisms interact with breadth of experience to self organize abstract rule-like PFC representations that support flexible generalization in novel tasks. The same model is shown to apply to benchmark PFC tasks (Stroop and Wisconsin card sorting), accurately simulating the behavior of neurologically intact and frontally damaged people.

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