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dc.contributor.authorRikhye, Rajeev Vijay
dc.contributor.authorHalassa, Michael
dc.date.accessioned2021-04-06T14:08:54Z
dc.date.available2021-04-06T14:08:54Z
dc.date.issued2018-12
dc.identifier.issn1097-6256
dc.identifier.urihttps://hdl.handle.net/1721.1/130385
dc.description.abstractInteractions between the prefrontal cortex (PFC) and mediodorsal thalamus are critical for cognitive flexibility, yet the underlying computations are unknown. To investigate frontothalamic substrates of cognitive flexibility, we developed a behavioral task in which mice switched between different sets of learned cues that guided attention toward either visual or auditory targets. We found that PFC responses reflected both the individual cues and their meaning as task rules, indicating a hierarchical cue-to-rule transformation. Conversely, mediodorsal thalamus responses reflected the statistical regularity of cue presentation and were required for switching between such experimentally specified cueing contexts. A subset of these thalamic responses sustained context-relevant PFC representations, while another suppressed the context-irrelevant ones. Through modeling and experimental validation, we find that thalamic-mediated suppression may not only reduce PFC representational interference but could also preserve unused cortical traces for future use. Overall, our study provides a computational foundation for thalamic engagement in cognitive flexibility.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41593-018-0269-Zen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleThalamic regulation of switching between cortical representations enables cognitive flexibilityen_US
dc.typeArticleen_US
dc.identifier.citationRikhye, Rajeev V. et al. “Thalamic regulation of switching between cortical representations enables cognitive flexibility.” Nature Neuroscience, 21, 12 (December 2018): 1753–1763 © 2018 The Author(s)en_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalNature Neuroscienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-04-06T12:49:15Z
dspace.orderedauthorsRikhye, RV; Gilra, A; Halassa, MMen_US
dspace.date.submission2021-04-06T12:49:16Z
mit.journal.volume21en_US
mit.journal.issue12en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusComplete


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