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Rat movements reflect internal decision dynamics in an evidence accumulation task
Perceptual decision-making involves multiple cognitive processes, including accumulation of sensory evidence, planning, and executing a motor action. How these processes are intertwined is unclear; some models assume that decision-related processes precede motor execution, whereas others propose tha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515875/ https://www.ncbi.nlm.nih.gov/pubmed/37745309 http://dx.doi.org/10.1101/2023.09.11.556575 |
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author | Kane, Gary A. Senne, Ryan A. Scott, Benjamin B. |
author_facet | Kane, Gary A. Senne, Ryan A. Scott, Benjamin B. |
author_sort | Kane, Gary A. |
collection | PubMed |
description | Perceptual decision-making involves multiple cognitive processes, including accumulation of sensory evidence, planning, and executing a motor action. How these processes are intertwined is unclear; some models assume that decision-related processes precede motor execution, whereas others propose that movements reflecting on-going decision processes occur before commitment to a choice. Here we develop and apply two complementary methods to study the relationship between decision processes and the movements leading up to a choice. The first is a free response pulse-based evidence accumulation task, in which stimuli continue until choice is reported. The second is a motion-based drift diffusion model (mDDM), in which movement variables from video pose estimation constrain decision parameters on a trial-by-trial basis. We find the mDDM provides a better model fit to rats’ decisions in the free response accumulation task than traditional DDM models. Interestingly, on each trial we observed a period of time, prior to choice, that was characterized by head immobility. The length of this period was positively correlated with the rats’ decision bounds and stimuli presented during this period had the greatest impact on choice. Together these results support a model in which internal decision dynamics are reflected in movements and demonstrate that inclusion of movement parameters improves the performance of diffusion-to-bound decision models. |
format | Online Article Text |
id | pubmed-10515875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105158752023-09-23 Rat movements reflect internal decision dynamics in an evidence accumulation task Kane, Gary A. Senne, Ryan A. Scott, Benjamin B. bioRxiv Article Perceptual decision-making involves multiple cognitive processes, including accumulation of sensory evidence, planning, and executing a motor action. How these processes are intertwined is unclear; some models assume that decision-related processes precede motor execution, whereas others propose that movements reflecting on-going decision processes occur before commitment to a choice. Here we develop and apply two complementary methods to study the relationship between decision processes and the movements leading up to a choice. The first is a free response pulse-based evidence accumulation task, in which stimuli continue until choice is reported. The second is a motion-based drift diffusion model (mDDM), in which movement variables from video pose estimation constrain decision parameters on a trial-by-trial basis. We find the mDDM provides a better model fit to rats’ decisions in the free response accumulation task than traditional DDM models. Interestingly, on each trial we observed a period of time, prior to choice, that was characterized by head immobility. The length of this period was positively correlated with the rats’ decision bounds and stimuli presented during this period had the greatest impact on choice. Together these results support a model in which internal decision dynamics are reflected in movements and demonstrate that inclusion of movement parameters improves the performance of diffusion-to-bound decision models. Cold Spring Harbor Laboratory 2023-09-13 /pmc/articles/PMC10515875/ /pubmed/37745309 http://dx.doi.org/10.1101/2023.09.11.556575 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Kane, Gary A. Senne, Ryan A. Scott, Benjamin B. Rat movements reflect internal decision dynamics in an evidence accumulation task |
title | Rat movements reflect internal decision dynamics in an evidence accumulation task |
title_full | Rat movements reflect internal decision dynamics in an evidence accumulation task |
title_fullStr | Rat movements reflect internal decision dynamics in an evidence accumulation task |
title_full_unstemmed | Rat movements reflect internal decision dynamics in an evidence accumulation task |
title_short | Rat movements reflect internal decision dynamics in an evidence accumulation task |
title_sort | rat movements reflect internal decision dynamics in an evidence accumulation task |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515875/ https://www.ncbi.nlm.nih.gov/pubmed/37745309 http://dx.doi.org/10.1101/2023.09.11.556575 |
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