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dc.contributor.authorDe Schutter, E.
dc.contributor.authorSteuber, Volker
dc.identifier.citationDe Schutter , E & Steuber , V 2009 , ' Patterns and pauses in Purkinje cell simple spike trains : experiments, modeling and theory ' , Neuroscience , vol. 162 , no. 3 , pp. 816-826 .
dc.identifier.otherPURE: 89498
dc.identifier.otherPURE UUID: eaa27b4b-54e1-4924-b414-7fc6a282f563
dc.identifier.otherdspace: 2299/3778
dc.identifier.otherScopus: 67650701383
dc.descriptionThe original article can be found at: Copyright International Brain Research Organization. DOI: 10.1016/j.neuroscience.2009.02.040
dc.description.abstractWe review our recent experimental and modeling results on how cerebellar Purkinje cells encode information in their simple spike trains and present a theory of the function of pauses and regular spiking patterns. The regular spiking patterns were discovered in extracellular recordings of simple spikes in awake and anesthetized rodents, where it was shown that more than half of the spontaneous activity consists of short epochs of regular spiking. These periods of regular spiking are interrupted by pauses, which can be tightly synchronized among nearby Purkinje cells, while the spikes in the regular patterns are not. Interestingly, pauses are affected by long-term depression of the parallel fiber synapses. Both in modeling and slice experiments it was demonstrated that long-term depression causes a decrease in the duration of pauses, leading to an increase of the spike output of the neuron. Based on these results we propose that pauses in the simple spike train form a temporal code which can lead to a rebound burst in the target deep cerebellar nucleus neurons. Conversely, the regular spike patterns may be a rate code, which presets the amplitude of future rebound bursts.en
dc.titlePatterns and pauses in Purkinje cell simple spike trains : experiments, modeling and theoryen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionCentre for Future Societies Research
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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