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dc.contributor.authorLong, Michael A.
dc.contributor.authorJin, Dezhe Z.
dc.contributor.authorFee, Michale S.
dc.date.accessioned2012-05-09T19:29:45Z
dc.date.available2012-05-09T19:29:45Z
dc.date.issued2010-11
dc.date.submitted2010-05
dc.identifier.issn0028-0836
dc.identifier.issn1476-4687
dc.identifier.urihttp://hdl.handle.net/1721.1/70549
dc.description.abstractIn songbirds, the remarkable temporal precision of song is generated by a sparse sequence of bursts in the premotor nucleus HVC. To distinguish between two possible classes of models of neural sequence generation, we carried out intracellular recordings of HVC neurons in singing zebra finches (Taeniopygia guttata). We found that the subthreshold membrane potential is characterized by a large, rapid depolarization 5–10 ms before burst onset, consistent with a synaptically connected chain of neurons in HVC. We found no evidence for the slow membrane potential modulation predicted by models in which burst timing is controlled by subthreshold dynamics. Furthermore, bursts ride on an underlying depolarization of ~10-ms duration, probably the result of a regenerative calcium spike within HVC neurons that could facilitate the propagation of activity through a chain network with high temporal precision. Our results provide insight into the fundamental mechanisms by which neural circuits can generate complex sequential behaviours.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant MH067105)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DC009280)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (IOS-0827731)en_US
dc.description.sponsorshipAlfred P. Sloan Foundation (Research Fellowship)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nature09514en_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.sourcePubMed Centralen_US
dc.titleSupport for a synaptic chain model of neuronal sequence generationen_US
dc.typeArticleen_US
dc.identifier.citationLong, Michael A., Dezhe Z. Jin, and Michale S. Fee. “Support for a Synaptic Chain Model of Neuronal Sequence Generation.” Nature 468.7322 (2010): 394–399. Web.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.approverFee, Michale S.
dc.contributor.mitauthorFee, Michale S.
dc.contributor.mitauthorLong, Michael A.
dc.relation.journalNatureen_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
dspace.orderedauthorsLong, Michael A.; Jin, Dezhe Z.; Fee, Michale S.en
dc.identifier.orcidhttps://orcid.org/0000-0001-7539-1745
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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