dc.contributor |
Universitat Pompeu Fabra |
dc.contributor.author |
Chicharro Raventós, Daniel |
dc.contributor.author |
Kreuz, Thomas |
dc.contributor.author |
Andrzejak, Ralph Gregor |
dc.date |
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.citation |
0165-0270 |
dc.identifier.citation |
http://dx.doi.org/10.1016/j.jneumeth.2011.05.002 |
dc.identifier.uri |
http://hdl.handle.net/10230/16205 |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Elsevier |
dc.relation |
info:eu-repo/grantAgreement/ES/2PN/BFU2007-61710 |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
(c) 2011 Elsevier. Published article is available at: http://dx.doi.org/10.1016/j.jneumeth.2011.05.002 |
dc.subject |
Xarxes neuronals (Informàtica) |
dc.subject |
Neurociència computacional |
dc.subject |
Spike trains |
dc.subject |
Spike train distances |
dc.subject |
Discrimination |
dc.subject |
Mutual information |
dc.subject |
Precision |
dc.subject |
Temporal coding |
dc.subject |
Neural coding |
dc.title |
What can spike train distances tell us about the neural code? |
dc.type |
info:eu-repo/semantics/article |
dc.type |
info:eu-repo/semantics/submittedVersion |
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.abstract |
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. |