Dynamic decision making and value computations in medial frontal cortex

Bilal A. Bari, Jeremiah Y. Cohen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Dynamic decision making requires an intact medial frontal cortex. Recent work has combined theory and single-neuron measurements in frontal cortex to advance models of decision making. We review behavioral tasks that have been used to study dynamic decision making and algorithmic models of these tasks using reinforcement learning theory. We discuss studies linking neurophysiology and quantitative decision variables. We conclude with hypotheses about the role of other cortical and subcortical structures in dynamic decision making, including ascending neuromodulatory systems.

Original languageEnglish (US)
Title of host publicationInternational Review of Neurobiology
EditorsAdam T. Brockett, Adam T. Brockett, Linda M. Amarante, Mark Laubach, Matthew R. Roesch, Matthew R. Roesch
PublisherAcademic Press Inc.
Pages83-113
Number of pages31
ISBN (Print)9780323853361
DOIs
StatePublished - Jan 2021

Publication series

NameInternational Review of Neurobiology
Volume158
ISSN (Print)0074-7742
ISSN (Electronic)2162-5514

Keywords

  • Dynamic decision making
  • Matching law
  • Persistent activity
  • Reinforcement learning

ASJC Scopus subject areas

  • Clinical Neurology
  • Cellular and Molecular Neuroscience

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