{"id":107822,"date":"2011-07-04T00:00:00","date_gmt":"2011-07-04T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/characterization-of-information-and-causality-measures-for-the-study-of-neuronal-data\/"},"modified":"2011-07-04T00:00:00","modified_gmt":"2011-07-04T00:00:00","slug":"characterization-of-information-and-causality-measures-for-the-study-of-neuronal-data","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/teoria-estocastica-y-analisis-de-series-temporales\/characterization-of-information-and-causality-measures-for-the-study-of-neuronal-data\/","title":{"rendered":"Characterization of information and causality measures for the study of neuronal data"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Daniel Chicharro Raventos <\/strong><\/h2>\n<p>Estudiamos dos m\u00e9todos de an\u00e1lisis de datos que son instrumento habitual para el an\u00e1lisis de datos neuronales. Concretamente, examinamos la manera en que las interacciones causales entre regiones del cerebro pueden ser investigadas a partir de series temporales que reflejan la actividad neuronal de las regiones. Adem\u00e1s, analizamos un m\u00e9todo utilizado para el estudio del c\u00f3digo neuronal que eval\u00faa la discriminaci\u00f3n de las respuestas de neuronas individuales provocadas por diferentes est\u00edmulos. Este an\u00e1lisis de la discriminaci\u00f3n se basa en la cuantificaci\u00f3n de la similitud de las secuencias de potenciales de acci\u00f3n con distancias con un par\u00e1metro de escala temporal. Teniendo en cuenta nuestros resultados, comentamos los estudios previos en los que estos m\u00e9todos han sido aplicados. Concretamente nos centramos en la interpretaci\u00f3n de las medidas estad\u00edsticas en t\u00e9rminos de conectividad neuronal causal subyacente y de las propiedades del c\u00f3digo neuronal, respectivamente.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Characterization of information and causality measures for the study of neuronal data<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Characterization of information and causality measures for the study of neuronal data <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Daniel Chicharro Raventos <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Pompeu fabra<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/04\/2011<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Ralph G Andrzejak<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: anders Ledberg <\/li>\n<li>florian Mormann (vocal)<\/li>\n<li>  (vocal)<\/li>\n<li>  (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Daniel Chicharro Raventos Estudiamos dos m\u00e9todos de an\u00e1lisis de datos que son instrumento habitual para el an\u00e1lisis [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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