{"id":428,"date":"2012-06-14T13:04:44","date_gmt":"2012-06-14T11:04:44","guid":{"rendered":"http:\/\/project.inria.fr\/keops\/?page_id=428"},"modified":"2014-01-08T10:40:03","modified_gmt":"2014-01-08T09:40:03","slug":"outcomes-analysing","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/keops\/es\/outcomes\/outcomes-analysing\/","title":{"rendered":"Resultados : Analisis"},"content":{"rendered":"<p><\/p>\n<p><strong><strong>Investigador principal<\/strong> : <strong> <\/strong><a title=\"\" href=\"http:\/\/www-sop.inria.fr\/members\/Bruno.Cessac\/\" rel=\"nofollow\">Bruno CESSAC<\/a>.<\/strong><\/p>\n<p><a href=\"http:\/\/project.inria.fr\/keops\/files\/2012\/06\/keopsan.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" title=\"keopsan\" src=\"http:\/\/project.inria.fr\/keops\/files\/2012\/06\/keopsan-300x182.png\" alt=\"\" width=\"300\" height=\"182\" \/><\/a><strong><strong>El trabajo en curso : <\/strong><\/strong>Analizar, a nivel de red local, el propiedades estad\u00edsticas de la producci\u00f3n pico de las c\u00e9lulas ganglionares los trenes, incluidos los mecanismos de adaptaci\u00f3n.<\/p>\n<ul>\n<li>Biol\u00f3gica de orden an\u00e1lisis de las estad\u00edsticas<\/li>\n<li>Algoritmo de mejora del rendimiento<\/li>\n<li>Red de modelo de estimaci\u00f3n param\u00e9trica.<\/li>\n<\/ul>\n<p><strong>Publicaciones y resultados<\/strong>:<\/p>\n<p><a href=\"http:\/\/www.mathematical-neuroscience.com\/content\/1\/1\/8\">Cessac, B. (2011) Statistics of spike trains in conductance-based neural networks: Rigorous results, The Journal of Mathematical Neuroscience 2011, 1:8 (25 August 2011).<\/a><\/p>\n<p><a href=\"http:\/\/www-sop.inria.fr\/members\/Bruno.Cessac\/\">Cessac, B. and Palacios, A. (2012) \u00abSpike train statistics from empirical facts to theory: the case of the retina\u00bb, In Mathematical Problems in\u00a0Computational Biology and Biomedicine, F. Cazals and P. Kornprobst, Springer, to appear.<\/a><\/p>\n<p><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0928425711000441\">Vasquez, J.C., Palacios, A., Marre, O., Berry II, M. and Cessac, B. Gibbs distribution analysis of temporal correlation structure on\u00a0multicell spike trains from retina ganglion cells, J. Physiol. Paris (in press)<\/a><\/p>\n<p>Cofre, R. and Cessac, B:\u00a0 Dynamics and spike trains statistics in<\/p>\n<p>conductance-based Integrate-and-Fire neural networks with chemical and electric synapses, submitted to \u00abChaos, Solitons and Fractals\u00bb, 2012.<\/p>\n<p>Hassan Nasser, Olivier Marre, and Bruno Cessac. Spike trains analysis using gibbs distributions and monte-carlo method. submitted to \u00abJournal of Statistical Mechanics\u00bb, 2012.<\/p>\n<p>Event Neural Assembly Simulation (Enas) C++ open-source middleware (interoperationable with Matlab, Java, Python, with Gtk GUI) providing :<\/p>\n<p>\u2013 Statistical methods and numerical tools to analyse and simulate the statistics of spike trains obtained from retina MEA recordings.<\/p>\n<p>\u2013 Variational methods and estimation tools to estimate and optimize the parameters of a neural assembly.<\/p>\n<p><a href=\"http:\/\/enas.gforge.inria.fr\"> http:\/\/enas.gforge.inria.fr<\/a><\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Investigador principal : Bruno CESSAC. El trabajo en curso : Analizar, a nivel de red local, el propiedades estad\u00edsticas de la producci\u00f3n pico de las c\u00e9lulas ganglionares los trenes, incluidos los mecanismos de adaptaci\u00f3n. Biol\u00f3gica de orden an\u00e1lisis de las estad\u00edsticas Algoritmo de mejora del rendimiento Red de modelo de estimaci\u00f3n param\u00e9trica. Publicaciones y resultados: &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/keops\/es\/outcomes\/outcomes-analysing\/\">Seguir leyendo<\/a><\/p>\n","protected":false},"author":36,"featured_media":586,"parent":413,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-428","page","type-page","status-publish","has-post-thumbnail","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/pages\/428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/users\/36"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/comments?post=428"}],"version-history":[{"count":37,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/pages\/428\/revisions"}],"predecessor-version":[{"id":863,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/pages\/428\/revisions\/863"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/pages\/413"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/media\/586"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/keops\/es\/wp-json\/wp\/v2\/media?parent=428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}