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Poster Année : 2014

Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning

Résumé

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.
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Dates et versions

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

Identifiants

  • HAL Id : hal-01094674 , version 1

Citer

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⟩
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