A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures

Taken together, these findings establish a novel mechanistic decomposition of MST behavior and help to constrain theories about the cognitive processes that support performance in the task.

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Institutions

Publication Details

Journal
Frontiers in Human Neuroscience
Published
2024-08-29
DOI
https://doi.org/10.3389/fnhum.2024.1379287
Citations
4
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.37

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article

A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures

Brittany S. Cassidy, C. Brock Kirwan, Sharon M. Noh, Craig E.L. Stark et al.
4 citations
Frontiers in Human Neuroscience
Functional Brain Connectivity Studies
1.37
article

A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures

Brittany S. Cassidy, C. Brock Kirwan, Sharon M. Noh, Craig E.L. Stark, Christopher N. Wahlheim, Nidhi V. Banavar, Aaron M. Bornstein
article en
4 citations

Abstract

Taken together, these findings establish a novel mechanistic decomposition of MST behavior and help to constrain theories about the cognitive processes that support performance in the task.

Frontiers in Human NeuroscienceVol. 18
Brigham Young University (US), University of North Carolina at Greensboro (US), University of California, Irvine (US), University of California, Berkeley (US)
Brain and Behavior Research Foundation, National Alliance for Research on Schizophrenia and Depression, National Institute on Aging
Openalex Percentile: Top 20%
Functional Brain Connectivity Studies
1.37
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A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures — Brittany S. Cassidy, C. Brock Kirwan, et al. · Frontiers in Human Neuroscience (2024) | TGRS Research Map | TGRS