Direct estimation of inhomogeneous Markov interval models of spike-trains

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  • dc.contributor.author Wójcik, Daniel K.ca
  • dc.contributor.author Mochol, Gabrielaca
  • dc.contributor.author Jakuczun, Witca
  • dc.contributor.author Wypych, Marekca
  • dc.contributor.author Waleszczyk, Wioletta J.ca
  • dc.date.accessioned 2018-07-19T16:12:41Z
  • dc.date.available 2018-07-19T16:12:41Z
  • dc.date.issued 2009
  • dc.description.abstract A necessary ingredient for a quantitative theory of neural coding is appropriate “spike kinematics”: a precise description of spike trains. While summarizing experiments by complete spike time collections is clearly inefficient and probably unnecessary, the most common probabilistic model used in neurophysiology, the inhomogeneous Poisson process, often seems too crude. Recently a more general model, the inhomogeneous Markov interval model (Berry & Meister, 1998; Kass & Ventura, 2001),was considered,which takes into account both the current experimental time and the time from the last spike. Several techniques were proposed to estimate the parameters of these models from data. Here we propose a direct method of estimation that is easy to implement, fast, and conceptually simple. The method is illustrated with an analysis of sample data from the cat’s superior colliculus.en
  • dc.description.sponsorship We have benefited from discussions with Szymon Leski. This research is funded by the Polish Ministry of Science and Higher Education, research grants N401 146 31/3239 and 46/N-COST/2007/0.en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Wójcik DK, Mochol G, Jakuczun W, Wypych M, Waleszczyk WJ. Direct estimation of inhomogeneous Markov interval models of spike-trains. Neural Comput. 2009;21:2105-13. DOI: 10.1162/neco.2009.07-08-828
  • dc.identifier.doi http://dx.doi.org/10.1162/neco.2009.07-08-828
  • dc.identifier.issn 0899-7667
  • dc.identifier.uri http://hdl.handle.net/10230/35204
  • dc.language.iso eng
  • dc.publisher MIT Pressca
  • dc.relation.ispartof Neural Computation. 2009;21:2105-13.
  • dc.rights © MIT Press (Publisher version at https://www.mitpressjournals.org/doi/abs/10.1162/neco.2009.07-08-828)
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.title Direct estimation of inhomogeneous Markov interval models of spike-trainsca
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion