Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties

Summary: In perceptual decision-making, prior knowledge of action outcomes is essential, especially when sensory inputs are insufficient for proper choices. Signal detection theory (SDT) shows that optimal choice bias depends not only on the prior but also the sensory uncertainty; however, it is unc...

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Main Author: Akihiro Funamizu
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422100794X
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author Akihiro Funamizu
author_facet Akihiro Funamizu
author_sort Akihiro Funamizu
collection DOAJ
description Summary: In perceptual decision-making, prior knowledge of action outcomes is essential, especially when sensory inputs are insufficient for proper choices. Signal detection theory (SDT) shows that optimal choice bias depends not only on the prior but also the sensory uncertainty; however, it is unclear how animals integrate sensory inputs with various uncertainties and reward expectations to optimize choices. We developed a tone-frequency discrimination task for head-fixed mice in which we randomly presented either a long or short sound stimulus and biased the choice outcomes. The choice was less accurate and more biased toward the large-reward side in short- than in long-stimulus trials. Analysis with SDT found that mice did not use a separate, optimal choice threshold in different sound durations. Instead, mice updated one threshold for short and long stimuli with a simple reinforcement-learning rule. Our task in head-fixed mice helps understanding how the brain integrates sensory inputs and prior.
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spelling doaj.art-114d3ea3eb834d9fba38da6438cb83612022-12-21T23:28:52ZengElsevieriScience2589-00422021-08-01248102826Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertaintiesAkihiro Funamizu0Institute for Quantitative Biosciences, University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan; Department of Life Sciences, Graduate School of Arts and Sciences, University of Tokyo, Meguro-ku, Tokyo 153-8902, Japan; Corresponding authorSummary: In perceptual decision-making, prior knowledge of action outcomes is essential, especially when sensory inputs are insufficient for proper choices. Signal detection theory (SDT) shows that optimal choice bias depends not only on the prior but also the sensory uncertainty; however, it is unclear how animals integrate sensory inputs with various uncertainties and reward expectations to optimize choices. We developed a tone-frequency discrimination task for head-fixed mice in which we randomly presented either a long or short sound stimulus and biased the choice outcomes. The choice was less accurate and more biased toward the large-reward side in short- than in long-stimulus trials. Analysis with SDT found that mice did not use a separate, optimal choice threshold in different sound durations. Instead, mice updated one threshold for short and long stimuli with a simple reinforcement-learning rule. Our task in head-fixed mice helps understanding how the brain integrates sensory inputs and prior.http://www.sciencedirect.com/science/article/pii/S258900422100794XBehavioral neuroscienceSensory neuroscienceCognitive neuroscience
spellingShingle Akihiro Funamizu
Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
iScience
Behavioral neuroscience
Sensory neuroscience
Cognitive neuroscience
title Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
title_full Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
title_fullStr Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
title_full_unstemmed Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
title_short Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties
title_sort integration of sensory evidence and reward expectation in mouse perceptual decision making task with various sensory uncertainties
topic Behavioral neuroscience
Sensory neuroscience
Cognitive neuroscience
url http://www.sciencedirect.com/science/article/pii/S258900422100794X
work_keys_str_mv AT akihirofunamizu integrationofsensoryevidenceandrewardexpectationinmouseperceptualdecisionmakingtaskwithvarioussensoryuncertainties