Information transmission in oscillatory neural activity

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dc.creatorKoepsell, Kilian
dc.creatorSommer, Friedrich T.
dc.date2008-09-24
dc.date2008-10-07
dc.date.accessioned2026-07-07T12:09:16Z
dc.date.available2026-07-07T12:09:16Z
dc.descriptionPeriodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present new tools for modeling and quantifying the information transmission based on periodic neural activity that occurs with quasi-random phase relative to the stimulus. We propose a model to reproduce characteristic features of oscillatory spike trains, such as histograms of inter-spike intervals and phase locking of spikes to an oscillatory influence. The proposed model is based on an inhomogeneous Gamma process governed by a density function that is a product of the usual stimulus-dependent rate and a quasi-periodic function. Further, we present an analysis method generalizing the direct method (Rieke et al, 1999; Brenner et al, 2000) to assess the information content in such data. We demonstrate these tools on recordings from relay cells in the lateral geniculate nucleus of the cat.
dc.description18 pages, 8 figures, to appear in Biological Cybernetics
dc.identifierhttps://arxiv.org/abs/0809.4059
dc.identifierhttp://arxiv.org/abs/0809.4059
dc.identifierBiological Cybernetics (2008) 99:403-416
dc.identifierdoi:10.1007/s00422-008-0273-6
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209567
dc.subjectNeurons and Cognition
dc.subjectInformation Theory
dc.subjectQuantitative Methods
dc.titleInformation transmission in oscillatory neural activity
dc.typetext

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