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dc.contributor.authorBalasubramaniam, Ramesh
dc.contributor.authorHaegens, Saskia
dc.contributor.authorJazayeri, Mehrdad
dc.contributor.authorMerchant, Hugo
dc.contributor.authorSternad, Dagmar
dc.contributor.authorSong, Joo-Hyun
dc.date.accessioned2021-10-27T20:04:29Z
dc.date.available2021-10-27T20:04:29Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/134337
dc.description.abstractThe ability to perceive and produce movements in the real world with precise timing is critical for survival in animals, including humans. However, research on sensorimotor timing has rarely considered the tight interrelation between perception, action, and cognition. In this review, we present new evidence from behavioral, computational, and neural studies in humans and nonhuman primates, suggesting a pivotal link between sensorimotor control and temporal processing, as well as describing new theoretical frameworks regarding timing in perception and action. We first discuss the link between movement coordination and interval-based timing by addressing how motor training develops accurate spatiotemporal patterns in behavior and influences the perception of temporal intervals. We then discuss how motor expertise results from establishing task-relevant neural manifolds in sensorimotor cortical areas and how the geometry and dynamics of these manifolds help reduce timing variability. We also highlight how neural dynamics in sensorimotor areas are involved in beat-based timing. These lines of research aim to extend our understanding of how timing arises from and contributes to perceptual-motor behaviors in complex environments to seamlessly interact with other cognitive processes.
dc.language.isoen
dc.publisherSociety for Neuroscience
dc.relation.isversionof10.1523/JNEUROSCI.1652-20.2020
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceJournal of Neuroscience
dc.titleNeural Encoding and Representation of Time for Sensorimotor Control and Learning
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.relation.journalJournal of Neuroscience
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-19T12:23:33Z
dspace.orderedauthorsBalasubramaniam, R; Haegens, S; Jazayeri, M; Merchant, H; Sternad, D; Song, J-H
dspace.date.submission2021-03-19T12:23:34Z
mit.journal.volume41
mit.journal.issue5
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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