Optimal multisensory decision-making in a reaction-time task
Humans and animals can integrate sensory evidence from various sources to make decisions in a statistically near-optimal manner, provided that the stimulus presentation time is fixed across trials. Little is known about whether optimality is preserved when subjects can choose when to make a decision...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2014-06-01
|
| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/03005 |
| _version_ | 1811235881862823936 |
|---|---|
| author | Jan Drugowitsch Gregory C DeAngelis Eliana M Klier Dora E Angelaki Alexandre Pouget |
| author_facet | Jan Drugowitsch Gregory C DeAngelis Eliana M Klier Dora E Angelaki Alexandre Pouget |
| author_sort | Jan Drugowitsch |
| collection | DOAJ |
| description | Humans and animals can integrate sensory evidence from various sources to make decisions in a statistically near-optimal manner, provided that the stimulus presentation time is fixed across trials. Little is known about whether optimality is preserved when subjects can choose when to make a decision (reaction-time task), nor when sensory inputs have time-varying reliability. Using a reaction-time version of a visual/vestibular heading discrimination task, we show that behavior is clearly sub-optimal when quantified with traditional optimality metrics that ignore reaction times. We created a computational model that accumulates evidence optimally across both cues and time, and trades off accuracy with decision speed. This model quantitatively explains subjects's choices and reaction times, supporting the hypothesis that subjects do, in fact, accumulate evidence optimally over time and across sensory modalities, even when the reaction time is under the subject's control. |
| first_indexed | 2024-04-12T11:59:43Z |
| format | Article |
| id | doaj.art-eef8627ddcfe46bda8934c8cd1184cad |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T11:59:43Z |
| publishDate | 2014-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-eef8627ddcfe46bda8934c8cd1184cad2022-12-22T03:33:53ZengeLife Sciences Publications LtdeLife2050-084X2014-06-01310.7554/eLife.03005Optimal multisensory decision-making in a reaction-time taskJan Drugowitsch0Gregory C DeAngelis1Eliana M Klier2Dora E Angelaki3Alexandre Pouget4Department of Brain and Cognitive Sciences, University of Rochester, New York, United States; Institut National de la Santé et de la Recherche Médicale, École Normale Supérieure, Paris, France; Département des Neurosciences Fondamentales, Université de Genève, Geneva, SwitzerlandDepartment of Brain and Cognitive Sciences, University of Rochester, New York, United StatesDepartment of Neuroscience, Baylor College of Medicine, Houston, United StatesDepartment of Neuroscience, Baylor College of Medicine, Houston, United StatesDepartment of Brain and Cognitive Sciences, University of Rochester, New York, United States; Département des Neurosciences Fondamentales, Université de Genève, Geneva, SwitzerlandHumans and animals can integrate sensory evidence from various sources to make decisions in a statistically near-optimal manner, provided that the stimulus presentation time is fixed across trials. Little is known about whether optimality is preserved when subjects can choose when to make a decision (reaction-time task), nor when sensory inputs have time-varying reliability. Using a reaction-time version of a visual/vestibular heading discrimination task, we show that behavior is clearly sub-optimal when quantified with traditional optimality metrics that ignore reaction times. We created a computational model that accumulates evidence optimally across both cues and time, and trades off accuracy with decision speed. This model quantitatively explains subjects's choices and reaction times, supporting the hypothesis that subjects do, in fact, accumulate evidence optimally over time and across sensory modalities, even when the reaction time is under the subject's control.https://elifesciences.org/articles/03005decision-makingcue combinationreaction timediffusion model |
| spellingShingle | Jan Drugowitsch Gregory C DeAngelis Eliana M Klier Dora E Angelaki Alexandre Pouget Optimal multisensory decision-making in a reaction-time task eLife decision-making cue combination reaction time diffusion model |
| title | Optimal multisensory decision-making in a reaction-time task |
| title_full | Optimal multisensory decision-making in a reaction-time task |
| title_fullStr | Optimal multisensory decision-making in a reaction-time task |
| title_full_unstemmed | Optimal multisensory decision-making in a reaction-time task |
| title_short | Optimal multisensory decision-making in a reaction-time task |
| title_sort | optimal multisensory decision making in a reaction time task |
| topic | decision-making cue combination reaction time diffusion model |
| url | https://elifesciences.org/articles/03005 |
| work_keys_str_mv | AT jandrugowitsch optimalmultisensorydecisionmakinginareactiontimetask AT gregorycdeangelis optimalmultisensorydecisionmakinginareactiontimetask AT elianamklier optimalmultisensorydecisionmakinginareactiontimetask AT doraeangelaki optimalmultisensorydecisionmakinginareactiontimetask AT alexandrepouget optimalmultisensorydecisionmakinginareactiontimetask |