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...
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doaj-1a1871c9e2d340e2a1041ba1135b09132021-05-04T23:52:48ZengeLife Sciences Publications LtdeLife2050-084X2015-06-01410.7554/eLife.06678Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-makingJan Drugowitsch0Gregory C DeAngelis1Dora E Angelaki2Alexandre Pouget3Department of Brain and Cognitive Sciences, University of Rochester, Rochester, United States; Institut National de la Santé et de la Recherche Médicale, École Normale 12 Supérieure, Paris, France; Département des Neurosciences Fondamentales, Université de Genève, Geneva, SwitzerlandDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, United StatesDepartment of Neuroscience, Baylor College of Medicine, Houston, United StatesDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, United States; Département des Neurosciences Fondamentales, Université de Genève, Geneva, SwitzerlandFor 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.https://elifesciences.org/articles/06678speed-accuracy trade-offdecision-makingmultisensory integrationoptimality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jan Drugowitsch Gregory C DeAngelis Dora E Angelaki Alexandre Pouget |
spellingShingle |
Jan Drugowitsch Gregory C DeAngelis Dora E Angelaki Alexandre Pouget Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making eLife speed-accuracy trade-off decision-making multisensory integration optimality |
author_facet |
Jan Drugowitsch Gregory C DeAngelis Dora E Angelaki Alexandre Pouget |
author_sort |
Jan Drugowitsch |
title |
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_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_sort |
tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2015-06-01 |
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. |
topic |
speed-accuracy trade-off decision-making multisensory integration optimality |
url |
https://elifesciences.org/articles/06678 |
work_keys_str_mv |
AT jandrugowitsch tuningthespeedaccuracytradeofftomaximizerewardrateinmultisensorydecisionmaking AT gregorycdeangelis tuningthespeedaccuracytradeofftomaximizerewardrateinmultisensorydecisionmaking AT doraeangelaki tuningthespeedaccuracytradeofftomaximizerewardrateinmultisensorydecisionmaking AT alexandrepouget tuningthespeedaccuracytradeofftomaximizerewardrateinmultisensorydecisionmaking |
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