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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...

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Autores principales: Chau, Edwin, Murray, Carolyn A., Shams, Ladan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
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.
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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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AT shamsladan hierarchicaldriftdiffusionmodelinguncoversmultisensorybenefitinnumerositydiscriminationtasks