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Drift-diffusion explains response variability and capacity for tracking objects
Being able to track objects that surround us is key for planning actions in dynamic environments. However, rigorous cognitive models for tracking of one or more objects are currently lacking. In this study, we asked human subjects to judge the time to contact (TTC) a finish line for one or two objec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677806/ https://www.ncbi.nlm.nih.gov/pubmed/31375761 http://dx.doi.org/10.1038/s41598-019-47624-4 |
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author | Daneshi, Asieh Azarnoush, Hamed Towhidkhah, Farzad Gohari, Amin Ghazizadeh, Ali |
author_facet | Daneshi, Asieh Azarnoush, Hamed Towhidkhah, Farzad Gohari, Amin Ghazizadeh, Ali |
author_sort | Daneshi, Asieh |
collection | PubMed |
description | Being able to track objects that surround us is key for planning actions in dynamic environments. However, rigorous cognitive models for tracking of one or more objects are currently lacking. In this study, we asked human subjects to judge the time to contact (TTC) a finish line for one or two objects that became invisible shortly after moving. We showed that the pattern of subject responses had an error variance best explained by an inverse Gaussian distribution and consistent with the output of a biased drift-diffusion model. Furthermore, we demonstrated that the pattern of errors made when tracking two objects showed a level of dependence that was consistent with subjects using a single decision variable for reporting the TTC for two objects. This finding reveals a serious limitation in the capacity for tracking multiple objects resulting in error propagation between objects. Apart from explaining our own data, our approach helps interpret previous findings such as asymmetric interference when tracking multiple objects. |
format | Online Article Text |
id | pubmed-6677806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66778062019-08-08 Drift-diffusion explains response variability and capacity for tracking objects Daneshi, Asieh Azarnoush, Hamed Towhidkhah, Farzad Gohari, Amin Ghazizadeh, Ali Sci Rep Article Being able to track objects that surround us is key for planning actions in dynamic environments. However, rigorous cognitive models for tracking of one or more objects are currently lacking. In this study, we asked human subjects to judge the time to contact (TTC) a finish line for one or two objects that became invisible shortly after moving. We showed that the pattern of subject responses had an error variance best explained by an inverse Gaussian distribution and consistent with the output of a biased drift-diffusion model. Furthermore, we demonstrated that the pattern of errors made when tracking two objects showed a level of dependence that was consistent with subjects using a single decision variable for reporting the TTC for two objects. This finding reveals a serious limitation in the capacity for tracking multiple objects resulting in error propagation between objects. Apart from explaining our own data, our approach helps interpret previous findings such as asymmetric interference when tracking multiple objects. Nature Publishing Group UK 2019-08-02 /pmc/articles/PMC6677806/ /pubmed/31375761 http://dx.doi.org/10.1038/s41598-019-47624-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Daneshi, Asieh Azarnoush, Hamed Towhidkhah, Farzad Gohari, Amin Ghazizadeh, Ali Drift-diffusion explains response variability and capacity for tracking objects |
title | Drift-diffusion explains response variability and capacity for tracking objects |
title_full | Drift-diffusion explains response variability and capacity for tracking objects |
title_fullStr | Drift-diffusion explains response variability and capacity for tracking objects |
title_full_unstemmed | Drift-diffusion explains response variability and capacity for tracking objects |
title_short | Drift-diffusion explains response variability and capacity for tracking objects |
title_sort | drift-diffusion explains response variability and capacity for tracking objects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677806/ https://www.ncbi.nlm.nih.gov/pubmed/31375761 http://dx.doi.org/10.1038/s41598-019-47624-4 |
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