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Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks
Studies of accuracy and reaction time in decision making often observe a speed-accuracy tradeoff, where either accuracy or reaction time is sacrificed for the other. While this effect may mask certain multisensory benefits in performance when accuracy and reaction time are separately measured, drift...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556708/ https://www.ncbi.nlm.nih.gov/pubmed/34760356 http://dx.doi.org/10.7717/peerj.12273 |
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author | Chau, Edwin Murray, Carolyn A. Shams, Ladan |
author_facet | Chau, Edwin Murray, Carolyn A. Shams, Ladan |
author_sort | Chau, Edwin |
collection | PubMed |
description | Studies of accuracy and reaction time in decision making often observe a speed-accuracy tradeoff, where either accuracy or reaction time is sacrificed for the other. While this effect may mask certain multisensory benefits in performance when accuracy and reaction time are separately measured, drift diffusion models (DDMs) are able to consider both simultaneously. However, drift diffusion models are often limited by large sample size requirements for reliable parameter estimation. One solution to this restriction is the use of hierarchical Bayesian estimation for DDM parameters. Here, we utilize hierarchical drift diffusion models (HDDMs) to reveal a multisensory advantage in auditory-visual numerosity discrimination tasks. By fitting this model with a modestly sized dataset, we also demonstrate that large sample sizes are not necessary for reliable parameter estimation. |
format | Online Article Text |
id | pubmed-8556708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85567082021-11-09 Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks Chau, Edwin Murray, Carolyn A. Shams, Ladan PeerJ Neuroscience Studies of accuracy and reaction time in decision making often observe a speed-accuracy tradeoff, where either accuracy or reaction time is sacrificed for the other. While this effect may mask certain multisensory benefits in performance when accuracy and reaction time are separately measured, drift diffusion models (DDMs) are able to consider both simultaneously. However, drift diffusion models are often limited by large sample size requirements for reliable parameter estimation. One solution to this restriction is the use of hierarchical Bayesian estimation for DDM parameters. Here, we utilize hierarchical drift diffusion models (HDDMs) to reveal a multisensory advantage in auditory-visual numerosity discrimination tasks. By fitting this model with a modestly sized dataset, we also demonstrate that large sample sizes are not necessary for reliable parameter estimation. PeerJ Inc. 2021-10-27 /pmc/articles/PMC8556708/ /pubmed/34760356 http://dx.doi.org/10.7717/peerj.12273 Text en © 2021 Chau et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Neuroscience Chau, Edwin Murray, Carolyn A. Shams, Ladan Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title | Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title_full | Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title_fullStr | Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title_full_unstemmed | Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title_short | Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
title_sort | hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556708/ https://www.ncbi.nlm.nih.gov/pubmed/34760356 http://dx.doi.org/10.7717/peerj.12273 |
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