From an executive network to executive control: a computational model of the n-back task

Christopher H Chatham, Seth A Herd, Angela M Brant, Thomas E Hazy, Akira Miyake, Randy O'Reilly, Naomi P Friedman

Research output: Contribution to journalArticle (Academic Journal)peer-review

63 Citations (Scopus)

Abstract

A paradigmatic test of executive control, the n-back task, is known to recruit a widely distributed parietal, frontal, and striatal "executive network," and is thought to require an equally wide array of executive functions. The mapping of functions onto substrates in such a complex task presents a significant challenge to any theoretical framework for executive control. To address this challenge, we developed a biologically constrained model of the n-back task that emergently develops the ability to appropriately gate, bind, and maintain information in working memory in the course of learning to perform the task. Furthermore, the model is sensitive to proactive interference in ways that match findings from neuroimaging and shows a U-shaped performance curve after manipulation of prefrontal dopaminergic mechanisms similar to that observed in studies of genetic polymorphisms and pharmacological manipulations. Our model represents a formal computational link between anatomical, functional neuroimaging, genetic, behavioral, and theoretical levels of analysis in the study of executive control. In addition, the model specifies one way in which the pFC, BG, parietal, and sensory cortices may learn to cooperate and give rise to executive control.

Original languageEnglish
Pages (from-to)3598-619
Number of pages22
JournalJournal of Cognitive Neuroscience
Volume23
Issue number11
DOIs
Publication statusPublished - Nov 2011

Keywords

  • Brain
  • Computer Simulation
  • Executive Function
  • Humans
  • Models, Neurological
  • Neural Pathways
  • Neuropsychological Tests

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