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Poster communications

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.
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Poster communications
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Contributor : Sebastian Hitziger Connect in order to contact the contributor
Submitted on : Friday, December 12, 2014 - 5:00:54 PM
Last modification on : Sunday, June 26, 2022 - 5:59:46 AM
Long-term archiving on: : Friday, March 13, 2015 - 11:21:26 AM


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  • HAL Id : hal-01094674, version 1


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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