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Cited by 217Visual perception and processing mechanismsNeural and Behavioral Psychology StudiesMotor Control and Adaptation

Accuracy, Information, and Response Time in a Saccadic Decision Task

Reddi, B.A.J., Asrress, K. N., Carpenter, R.H.S.·2003·Journal of Neurophysiology
DOI 10.1152/jn.00689.2002
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Abstract

Reaction times generally follow a simple law economically described by the LATER model, in which a decision signal rises linearly in response to information about a target to a threshold at which a response is initiated, at a rate that varies from trial to trial with a Gaussian distribution. Functionally, LATER may be regarded as an ideal decision mechanism incorporating prior probability, information, and criterion level or urgency; this can be tested quantitatively by seeing whether LATER accurately predicts the effects on latency distributions of manipulating these variables: in this case, information and urgency. We presented subjects with random-dot kinematograms while fixating a central LED. The information content of the display was varied by altering the proportion of the dots moving coherently together either left or right rather than randomly. As soon as subjects detected the direction of coherent movement, they made a saccade in the same direction to one of a pair of LEDs on each side of the fixation target. Subjects responded either carefully, taking time to ensure an accurate judgement, or more hastily and with less regard for accuracy. The distributions of latencies under the different combinations of conditions were found to conform to LATER's predictions. Providing more information or increasing urgency both reduce latency; but they alter the observed distributions in different ways, equivalent to increasing the mean rate of rise on the one hand or reducing the criterion level on the other. Making only simple assumptions about the underlying mechanisms, the observed changes can be accounted for quantitatively.

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  • Many models proposed to explain the coordination of reaction time and choice accuracy in 2-choice tasks share a common feature: a termination bound is applied to some form of evidence representation, the decision variable.

    “Many models are proposed to explain the coordination of RT and choice accuracy in 2-choice tasks 4,18,25–27. These models share a common feature: a termination bound is applied to some form of evidence representation, the decision variable.”

    From Decision-making with multiple alternatives (2008) · cites this paper as [18]

  • The time-dependent rise reflects the cost associated with the passage of time, corresponding to the psychological sense of urgency, u(t).

    “We interpret this rise as a reflection of the cost associated with the passage of time, corresponding to the psychological sense of urgency, u(t) 17,18.”

    From Decision-making with multiple alternatives (2008) · cites this paper as [18]

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Authors
Reddi, B. A. J., Asrress, K. N., & Carpenter, R. H. S.
Affiliations
University of Cambridge (GB)
ORCID
Venue
Journal of Neurophysiology
Publisher
American Physiological Society
Published
2003-11
Volume
90
Issue
5
Pages
3538-3546
ISSN
  • 0022-3077 (ISSN-L)
  • 1522-1598
DOI
10.1152/jn.00689.2002
OpenAlex
W2109715743
Cited by
217
References
38
Citations by year
2026: 4 · 2025: 1 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 6 · 2019: 3 · 2018: 8 · 2017: 11 · 2016: 7 · 2015: 12 · 2014: 20 · 2013: 12 · 2012: 18
FWCI
4.23
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords
saccades, decision time, reaction time, urgency, information content, random dot kinematograms, coherent motion detection, drift-diffusion model
MeSH terms
Decision Making, Humans, Reaction Time, Saccades, Statistics, Nonparametric

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