Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research

The results demonstrate that model-based measures of performance on our modified Pavlovian go/no-go task can reach levels of reliability sufficient for use in individual-differences research. We therefore provide the task code for use by the computational psychiatry community (as well as other researchers). Additional investigation is necessary to validate the modified version of the task in other populations and settings.

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Publication Details

Journal
Computational Psychiatry
Published
2025-12-18
DOI
https://doi.org/10.5334/cpsy.127
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
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article

Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research

Computational Psychiatry
Digital Mental Health Interventions
article

Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research

article en

Abstract

The results demonstrate that model-based measures of performance on our modified Pavlovian go/no-go task can reach levels of reliability sufficient for use in individual-differences research. We therefore provide the task code for use by the computational psychiatry community (as well as other researchers). Additional investigation is necessary to validate the modified version of the task in other populations and settings.

Computational PsychiatryVol. 9(1)
Princeton University (US), University of California San Diego (US)
Openalex Percentile: Top 32%
Digital Mental Health Interventions
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Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research · Computational Psychiatry (2025) | TGRS Research Map | TGRS