Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Poster Communications Year :

Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning

Abstract

This work aims at establishing a relationship between neurophysiological and hemodynamic activity in an animal model of epilepsy. For the analysis, we propose a novel algorithm that is suited to learn meaningful representations of the multimodal datasets. As a result, we are able to learn a hemodynamic response and discover spike synchronization with hemodynamic activity.
Fichier principal
Vignette du fichier
posterOHBM.pdf (2.78 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01094674 , version 1 (12-12-2014)

Identifiers

  • HAL Id : hal-01094674 , version 1

Cite

Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian G. Bénar, et al.. Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning. OHBM 2014, Jun 2014, Hamburg, Germany. . ⟨hal-01094674⟩
352 View
61 Download

Share

Gmail Facebook Twitter LinkedIn More