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Cited by 485Neural and Behavioral Psychology StudiesMotor Control and AdaptationNeural dynamics and brain function

Inhibitory control in mind and brain: An interactive race model of countermanding saccades.

Boucher, Leanne, Palmeri, Thomas J., Logan, Gordon D., Schall, Jeffrey D.·2007·Psychological Review
DOI 10.1037/0033-295x.114.2.376
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Abstract

The stop-signal task has been used to study normal cognitive control and clinical dysfunction. Its utility is derived from a race model that accounts for performance and provides an estimate of the time it takes to stop a movement. This model posits a race between go and stop processes with stochastically independent finish times. However, neurophysiological studies demonstrate that the neural correlates of the go and stop processes produce movements through a network of interacting neurons. The juxtaposition of the computational model with the neural data exposes a paradox-how can a network of interacting units produce behavior that appears to be the outcome of an independent race? The authors report how a simple, competitive network can solve this paradox and provide an account of what is measured by stop-signal reaction time.

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Crossref · 10.1037/0033-295x.114.2.376

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  • Boucher et al. proposed an interactive race model in which go and stop processes are independent for much of their latencies and interact strongly near the end.

    “Boucher et al. [64] proposed an interactive race model, in which the go and stop process are independent for much of their latencies and interact strongly near the end (Figure III).”

    From Response inhibition in the stop-signal paradigm (2008) · cites this paper as [64]

  • In the interactive race model, SSRT mainly reflects the period before the stop unit is activated, during which stop and go processing are independent, so its predictions match the independent race model.

    “In this model, SSRT primarily reflects the period before the stop unit is activated, during which stop and go processing are independent, so its predictions correspond to those of the independent race model [64].”

    From Response inhibition in the stop-signal paradigm (2008) · cites this paper as [64]

  • In situations when there is a conflict, for instance when the subject has to inhibit a planned saccade by a stop signal introduced with a short delay after the target onset, the behavior becomes probabilistic.

    “In situations when there is a conflict, for instance when the subject has to inhibit a planned saccade by a stop signal introduced with a short delay after the target onset, the behavior becomes probabilistic (the saccade is suppressed on some trials, but not on other trials) (Logan and Cowan, 1984; Boucher et al., 2007).”

    From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Boucher et al., 2007

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Related

Authors
Boucher, L., Palmeri, T. J., Logan, G. D., & Schall, J. D.
Affiliations
Vanderbilt University (US)
ORCID
Venue
Psychological Review
Publisher
American Psychological Association (APA)
Published
2007
Volume
114
Issue
2
Pages
376-397
ISSN
  • 0033-295X (ISSN-L)
  • 1939-1471
DOI
10.1037/0033-295x.114.2.376
OpenAlex
W2150380514
Cited by
485
References
165
Citations by year
2026: 13 · 2025: 10 · 2024: 17 · 2023: 11 · 2022: 26 · 2021: 23 · 2020: 29 · 2019: 29 · 2018: 30 · 2017: 19 · 2016: 39 · 2015: 40 · 2014: 39 · 2013: 28 · 2012: 29
FWCI
13.15
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Review (publishedVersion)
  • PubMed (publishedVersion)
  • NSUWorks (Nova Southeastern University) (submittedVersion)
Funders
  • E. Bronson Ingram Chair
  • National Science Foundation (BCS0218507; BCS0446806)
  • National Institutes of Health (F32-EY016679; RO1-MH55806; RO1-EY13358; P30-EY08126; P30-HD015052)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
inhibitory control, cognitive control, stop-signal task, race model, stop-signal reaction time, competitive neural networks, interacting neurons
MeSH terms
Brain, Cognition, Humans, Inhibition, Psychological, Saccades, Stochastic Processes, Signal Detection, Psychological

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