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What can spike train distances tell us about the neural code?

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dc.contributor.author Chicharro Raventós, Daniel
dc.contributor.author Kreuz, Thomas
dc.contributor.author Andrzejak, Ralph Gregor
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2012-02-09T09:47:30Z
dc.date.available 2012-02-09T09:47:30Z
dc.date.issued 2011
dc.identifier.citation Chicharro D, Kreuz T, Andrzejak R G. What can spike train distances tell us about the neural code?. Journal of Neuroscience Methods. 2011; 199(1): 146-165. DOI 10.1016/j.jneumeth.2011.05.002
dc.identifier.issn 0165-0270
dc.identifier.uri http://hdl.handle.net/10230/16205
dc.description.abstract Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often applied to study the neural code based on neural stimuli discrimination./nDifferent neural coding hypotheses, such as rate or coincidence coding,/ncan be assessed by combining a time scale parametric spike train distance with a/nclassifier in order to obtain the optimal discrimination performance. The time scale/nfor which the responses to different stimuli are distinguished best is assumed to be/nthe discriminative precision of the neural code. The relevance of temporal coding/nis evaluated by comparing the optimal discrimination performance with the one/nachieved when assuming a rate code./nWe here characterize the measures quantifying the discrimination performance,/nthe discriminative precision, and the relevance of temporal coding. Furthermore,/nwe evaluate the information these quantities provide about the neural code. We/nshow that the discriminative precision is too unspecific to be interpreted in terms/nof the time scales relevant for encoding. Accordingly, the time scale parametric/nnature of the distances is mainly an advantage because it allows maximizing the/ndiscrimination performance across a whole set of measures with different sensitivities/ndetermined by the time scale parameter, but not due to the possibility to/nexamine the temporal properties of the neural code.
dc.description.sponsorship DC is supported by the grant 2010FI-B2 00079 of the ”Comissionat per a Universitats/ni Recerca del Departament d’Innovació, Universitats i Empresa de la Generalitat/nde Catalunya i del Fons Social Europeu” and grant 2008BE1 00166 of the ”Comissionat per a Universitats i Recerca del Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya”. RGA acknowledges grant BFU2007-61710 of the Spanish Ministry of Education and Science.
dc.language.iso eng
dc.publisher Elsevier
dc.rights (c) 2011 Elsevier. Published article is available at: http://dx.doi.org/10.1016/j.jneumeth.2011.05.002
dc.subject.other Xarxes neuronals (Informàtica)
dc.subject.other Neurociència computacional
dc.title What can spike train distances tell us about the neural code?
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.jneumeth.2011.05.002
dc.subject.keyword Spike trains
dc.subject.keyword Spike train distances
dc.subject.keyword Discrimination
dc.subject.keyword Mutual information
dc.subject.keyword Precision
dc.subject.keyword Temporal coding
dc.subject.keyword Neural coding
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/BFU2007-61710
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/submittedVersion


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