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Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making
For decisions made under time pressure, effective decision making based on uncertain or ambiguous evidence requires efficient accumulation of evidence over time, as well as appropriately balancing speed and accuracy, known as the speed/accuracy trade-off. For simple unimodal stimuli, previous studie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487075/ https://www.ncbi.nlm.nih.gov/pubmed/26090907 http://dx.doi.org/10.7554/eLife.06678 |
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author | Drugowitsch, Jan DeAngelis, Gregory C Angelaki, Dora E Pouget, Alexandre |
author_facet | Drugowitsch, Jan DeAngelis, Gregory C Angelaki, Dora E Pouget, Alexandre |
author_sort | Drugowitsch, Jan |
collection | PubMed |
description | For decisions made under time pressure, effective decision making based on uncertain or ambiguous evidence requires efficient accumulation of evidence over time, as well as appropriately balancing speed and accuracy, known as the speed/accuracy trade-off. For simple unimodal stimuli, previous studies have shown that human subjects set their speed/accuracy trade-off to maximize reward rate. We extend this analysis to situations in which information is provided by multiple sensory modalities. Analyzing previously collected data (Drugowitsch et al., 2014), we show that human subjects adjust their speed/accuracy trade-off to produce near-optimal reward rates. This trade-off can change rapidly across trials according to the sensory modalities involved, suggesting that it is represented by neural population codes rather than implemented by slow neuronal mechanisms such as gradual changes in synaptic weights. Furthermore, we show that deviations from the optimal speed/accuracy trade-off can be explained by assuming an incomplete gradient-based learning of these trade-offs. DOI: http://dx.doi.org/10.7554/eLife.06678.001 |
format | Online Article Text |
id | pubmed-4487075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-44870752015-07-02 Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making Drugowitsch, Jan DeAngelis, Gregory C Angelaki, Dora E Pouget, Alexandre eLife Computational and Systems Biology For decisions made under time pressure, effective decision making based on uncertain or ambiguous evidence requires efficient accumulation of evidence over time, as well as appropriately balancing speed and accuracy, known as the speed/accuracy trade-off. For simple unimodal stimuli, previous studies have shown that human subjects set their speed/accuracy trade-off to maximize reward rate. We extend this analysis to situations in which information is provided by multiple sensory modalities. Analyzing previously collected data (Drugowitsch et al., 2014), we show that human subjects adjust their speed/accuracy trade-off to produce near-optimal reward rates. This trade-off can change rapidly across trials according to the sensory modalities involved, suggesting that it is represented by neural population codes rather than implemented by slow neuronal mechanisms such as gradual changes in synaptic weights. Furthermore, we show that deviations from the optimal speed/accuracy trade-off can be explained by assuming an incomplete gradient-based learning of these trade-offs. DOI: http://dx.doi.org/10.7554/eLife.06678.001 eLife Sciences Publications, Ltd 2015-06-19 /pmc/articles/PMC4487075/ /pubmed/26090907 http://dx.doi.org/10.7554/eLife.06678 Text en © 2015, Drugowitsch et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Drugowitsch, Jan DeAngelis, Gregory C Angelaki, Dora E Pouget, Alexandre Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title | Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title_full | Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title_fullStr | Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title_full_unstemmed | Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title_short | Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
title_sort | tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487075/ https://www.ncbi.nlm.nih.gov/pubmed/26090907 http://dx.doi.org/10.7554/eLife.06678 |
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