Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study

Simple item page
dc.contributor.authorLee, Jung Hoonen
dc.contributor.authorTsunada, Jojien
dc.contributor.authorVijayan, Sujithen
dc.contributor.authorCohen, Yale E.en
dc.date.accessioned2023-04-24T16:55:47Zen
dc.date.available2023-04-24T16:55:47Zen
dc.date.issued2022-11en
dc.description.abstractThe intrinsic uncertainty of sensory information (i.e., evidence) does not necessarily deter an observer from making a reliable decision. Indeed, uncertainty can be reduced by integrating (accumulating) incoming sensory evidence. It is widely thought that this accumulation is instantiated via recurrent rate-code neural networks. Yet, these networks do not fully explain important aspects of perceptual decision-making, such as a subject's ability to retain accumulated evidence during temporal gaps in the sensory evidence. Here, we utilized computational models to show that cortical circuits can switch flexibly between "retention" and "integration" modes during perceptual decision-making. Further, we found that, depending on how the sensory evidence was readout, we could simulate "stepping" and "ramping" activity patterns, which may be analogous to those seen in different studies of decision-making in the primate parietal cortex. This finding may reconcile these previous empirical studies because it suggests these two activity patterns emerge from the same mechanism.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/fncom.2022.979830en
dc.identifier.eissn1662-5188en
dc.identifier.other979830en
dc.identifier.pmid36405782en
dc.identifier.urihttp://hdl.handle.net/10919/114763en
dc.identifier.volume16en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectlossless integratoren
dc.subjectinhibitory cell typesen
dc.subjectperceptual decision-makingen
dc.subjectcortical circuitsen
dc.subjectcomputational modelen
dc.titleCortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling studyen
dc.title.serialFrontiers in Computational Neuroscienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
fncom-16-979830.pdf
Size:
3.68 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Scholarly Works, School of Neuroscience