Decoding cognitive states and motor intentions from intracranial EEG: How promising is high-frequency brain activity for brain-machine interfaces?

We provide a brief overview of our recent research into decoding cognitive states and motor intentions from intracranial EEG using high-frequency brain activity for brain-machine interfaces. Appears in: Korczyn AD et al. Epilepsy, cognition, and neuropsychiatry (Epilepsy, Brain, and Mind, part 2), Epilepsy Behav (in press), doi: 10.1016/j.yebeh.2013.03.012

Mots clés

Brain-computer Interfaces intracranial electroencephalography electrocorticography High frequency activity gamma band real-time electrophysiology intention decoding cognitive BCI

Domaines

Sciences cognitives Neurobiologie

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Jerbi_etal_Epilepsy_and_Behavior_2013_AuthorVersion.pdf (45.16 Ko)

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Karim Jerbi : Connectez-vous pour contacter le contributeur

https://hal.science/hal-01023626

Soumis le : mercredi 16 juillet 2014-17:31:14

Dernière modification le : lundi 14 octobre 2024-16:02:04

Archivage à long terme le : jeudi 20 novembre 2014-18:38:27

Dates et versions

hal-01023626 , version 1 (16-07-2014)

Identifiants

HAL Id : hal-01023626 , version 1
DOI : 10.1016/j.yebeh.2013.03.012

Citer

Karim Jerbi, Etienne Combrisson, Sarang S. Dalal, Juan R. Vidal, Carlos M. Hamame, et al.. Decoding cognitive states and motor intentions from intracranial EEG: How promising is high-frequency brain activity for brain-machine interfaces?. Epilepsy & Behavior, 2013, 28 (2), pp.283-302. ⟨10.1016/j.yebeh.2013.03.012⟩. ⟨hal-01023626⟩

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