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Context-specific and context-invariant computations of interval timing

INTRODUCTION: An accurate sense of time is crucial in flexible sensorimotor control and other cognitive functions. However, it remains unknown how multiple timing computations in different contexts interact to shape our behavior. METHODS: We asked 41 healthy human subjects to perform timing tasks th...

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Detalles Bibliográficos
Autores principales: Pourmohammadi, Ahmad, Sanayei, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547875/
https://www.ncbi.nlm.nih.gov/pubmed/37799342
http://dx.doi.org/10.3389/fnins.2023.1249502
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author Pourmohammadi, Ahmad
Sanayei, Mehdi
author_facet Pourmohammadi, Ahmad
Sanayei, Mehdi
author_sort Pourmohammadi, Ahmad
collection PubMed
description INTRODUCTION: An accurate sense of time is crucial in flexible sensorimotor control and other cognitive functions. However, it remains unknown how multiple timing computations in different contexts interact to shape our behavior. METHODS: We asked 41 healthy human subjects to perform timing tasks that differed in the sensorimotor domain (sensory timing vs. motor timing) and effector (hand vs. saccadic eye movement). To understand how these different behavioral contexts contribute to timing behavior, we applied a three-stage Bayesian model to behavioral data. RESULTS: Our results demonstrate that the Bayesian model for each effector could not describe bias in the other effector. Similarly, in each task the model-predicted data could not describe bias in the other task. These findings suggest that the measurement stage of interval timing is context-specific in the sensorimotor and effector domains. We also showed that temporal precision is context-invariant in the effector domain, unlike temporal accuracy. DISCUSSION: This combination of context-specific and context-invariant computations across sensorimotor and effector domains suggests overlapping and distributed computations as the underlying mechanism of timing in different contexts.
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spelling pubmed-105478752023-10-05 Context-specific and context-invariant computations of interval timing Pourmohammadi, Ahmad Sanayei, Mehdi Front Neurosci Neuroscience INTRODUCTION: An accurate sense of time is crucial in flexible sensorimotor control and other cognitive functions. However, it remains unknown how multiple timing computations in different contexts interact to shape our behavior. METHODS: We asked 41 healthy human subjects to perform timing tasks that differed in the sensorimotor domain (sensory timing vs. motor timing) and effector (hand vs. saccadic eye movement). To understand how these different behavioral contexts contribute to timing behavior, we applied a three-stage Bayesian model to behavioral data. RESULTS: Our results demonstrate that the Bayesian model for each effector could not describe bias in the other effector. Similarly, in each task the model-predicted data could not describe bias in the other task. These findings suggest that the measurement stage of interval timing is context-specific in the sensorimotor and effector domains. We also showed that temporal precision is context-invariant in the effector domain, unlike temporal accuracy. DISCUSSION: This combination of context-specific and context-invariant computations across sensorimotor and effector domains suggests overlapping and distributed computations as the underlying mechanism of timing in different contexts. Frontiers Media S.A. 2023-09-20 /pmc/articles/PMC10547875/ /pubmed/37799342 http://dx.doi.org/10.3389/fnins.2023.1249502 Text en Copyright © 2023 Pourmohammadi and Sanayei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Pourmohammadi, Ahmad
Sanayei, Mehdi
Context-specific and context-invariant computations of interval timing
title Context-specific and context-invariant computations of interval timing
title_full Context-specific and context-invariant computations of interval timing
title_fullStr Context-specific and context-invariant computations of interval timing
title_full_unstemmed Context-specific and context-invariant computations of interval timing
title_short Context-specific and context-invariant computations of interval timing
title_sort context-specific and context-invariant computations of interval timing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547875/
https://www.ncbi.nlm.nih.gov/pubmed/37799342
http://dx.doi.org/10.3389/fnins.2023.1249502
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