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dc.contributor.authorRoopun, Anita K.en_US
dc.contributor.authorKramer, Mark A.en_US
dc.contributor.authorCarracedo, Lucy M.en_US
dc.contributor.authorKaiser, Marcusen_US
dc.contributor.authorDavies, Ceri H.en_US
dc.contributor.authorTraub, Roger D.en_US
dc.contributor.authorKopell, Nancy J.en_US
dc.contributor.authorWhittington, Miles A.en_US
dc.date.accessioned2019-02-27T19:05:55Z
dc.date.available2019-02-27T19:05:55Z
dc.date.issued2008-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446090600031&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationAnita K Roopun, Mark A Kramer, Lucy M Carracedo, Marcus Kaiser, Ceri H Davies, Roger D Traub, Nancy J Kopell, Miles A Whittington. 2008. "Temporal interactions between cortical rhythms." FRONTIERS IN NEUROSCIENCE, Volume 2, Issue 1, pp. 145 - 154 (10). https://doi.org/10.3389/neuro.01.034.2008
dc.identifier.issn1662-453X
dc.identifier.urihttps://hdl.handle.net/2144/33637
dc.description.abstractMultiple local neuronal circuits support different, discrete frequencies of network rhythm in neocortex. Relationships between different frequencies correspond to mechanisms designed to minimise interference, couple activity via stable phase interactions, and control the amplitude of one frequency relative to the phase of another. These mechanisms are proposed to form a framework for spectral information processing. Individual local circuits can also transform their frequency through changes in intrinsic neuronal properties and interactions with other oscillating microcircuits. Here we discuss a frequency transformation in which activity in two co-active local circuits may combine sequentially to generate a third frequency whose period is the concatenation sum of the original two. With such an interaction, the intrinsic periodicity in each component local circuit is preserved – alternate, single periods of each original rhythm form one period of a new frequency – suggesting a robust mechanism for combining information processed on multiple concurrent spatiotemporal scales.en_US
dc.description.sponsorshipWe thank The MRC, The Wolfson Foundation, the NIH, NSF, IBM, The Alexander von Humbolt Stifftung and The Royal Society for supporting this work. (MRC; Wolfson Foundation; NIH; NSF; IBM; Alexander von Humbolt Stifftung; Royal Society)en_US
dc.format.extentp. 145 - 154en_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherFRONTIERS MEDIA SAen_US
dc.relation.ispartofFRONTIERS IN NEUROSCIENCE
dc.rights© 2008 Roopun, Kramer, Carracedo, Kaiser, Davies, Traub, Kopell and Whittington. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.en_US
dc.subjectScience & technologyen_US
dc.subjectLife sciences & biomedicineen_US
dc.subjectNeurosciencesen_US
dc.subjectNeurosciences & neurologyen_US
dc.subjectEEGen_US
dc.subjectNeocortexen_US
dc.subjectGamma rhythmen_US
dc.subjectBeta rhythmen_US
dc.subjectInhibitionen_US
dc.subjectNeurosciencesen_US
dc.subjectCognitive scienceen_US
dc.titleTemporal interactions between cortical rhythmsen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.3389/neuro.01.034.2008
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Mathematics & Statisticsen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0002-8568-8750 (Kopell, Nancy J)


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