Cited by 532Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on BehaviorDecision-Making and Behavioral Economics

Neural computations associated with goal-directed choice

Rangel, Antonio, Hare, Todd·2010·Current Opinion in Neurobiology

Abstract

In goal-directed decision-making, animals choose between actions that are associated with different reward outcomes (e.g., foods) and with different costs (e.g., effort). Rapid advances have been made over the past few years in our understanding of the computations associated with goal-directed choices, and of how those computations are implemented in the brain. We review some important findings, with an emphasis on computational models, human fMRI, and monkey neurophysiology studies.

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Crossref · 10.1016/j.conb.2010.03.001

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  • The periaqueductal gray sends monosynaptic reciprocal projections to ventromedial prefrontal cortex and to anterior mid-cingulate cortex, orbitofrontal cortex, and other areas involved in action value and defensive behavior.

    “It also sends monosynaptic, reciprocal projections to the vmPFC—which is essential for value updating in the RL framework and likely for behavioral choice as well31—and to aMCC32, OFC and other areas involved in determining action value and coordinating defensive behavior18,33.”
  • Ventromedial prefrontal cortex (VMPFC) plays a critical role in the computation of value both at decision and outcome.

    “the ventromedial prefrontal cortex (VMPFC) plays a critical role in the computation of value both at decision and outcome (Rangel and Hare, 2010;Padoa-Schioppa, 2011;Levy and Glimcher, 2012).”
  • Prior work has established that the ventromedial prefrontal cortex (vmPFC) plays a central role in computing the value of potential choice options, with activity in this region reflecting the dynamic evolution of a value comparison.

    “Prior work has established that the ventromedial prefrontal cortex (vmPFC) plays a central role in computing the value of potential choice options1-5, with activity in this region reflecting the dynamic evolution of a value comparison6.”

    From Confidence in value-based choice (2013) · cites this paper as [1]

  • The striatum signals not only the presence or absence of a reward, but also the value of the reward.

    “That is, the striatum (along with other components of the reward system such as ventromedial prefrontal cortex discussed elsewhere 31) signals not only the presence or absence of a reward, but also the value of the reward.”

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Authors
Rangel, A., & Hare, T.
Affiliations
California Institute of Technology (US)
Corresponding author
Rangel, Antonio
Venue
Current Opinion in Neurobiology
Publisher
Elsevier BV
Published
2010-04
Volume
20
Issue
2
Pages
262-270
ISSN
0959-4388 (ISSN-L)
OpenAlex
W2008709921
Cited by
532
References
80
Citations by year
2026: 11 · 2025: 15 · 2024: 19 · 2023: 18 · 2022: 29 · 2021: 30 · 2020: 33 · 2019: 30 · 2018: 40 · 2017: 42 · 2016: 39 · 2015: 44 · 2014: 47 · 2013: 53 · 2012: 39
FWCI
3.11
Type
journal article
Language
en
Open access
closed
Locations
  • Current Opinion in Neurobiology (publishedVersion)
  • PubMed (publishedVersion)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Funders
  • National Science Foundation
  • Gordon and Betty Moore Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
decision-making, reward, effort cost, computational model, neural computation, action selection
MeSH terms
Animals, Brain, Cognition, Computer Simulation, Decision Making, Goals, Humans, Judgment, Motivation, Primates, Models, Animal, Executive Function

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