Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework ; volume:15 ; number:1 ; day:16 ; month:4 ; year:2024 ; pages:1-12 ; date:12.2024
Nature Communications ; 15, Heft 1 (16.4.2024), 1-12, 12.2024

Creator: Costa, Filippo
Schaft, Eline V.
Huiskamp, Geertjan
Aarnoutse, Erik J.
van’t Klooster, Maryse A.
Krayenbühl, Niklaus
Ramantani, Georgia
Zijlmans, Maeike
Indiveri, Giacomo
Sarnthein, Johannes

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41467-024-47495-y

URN: urn:nbn:de:101:1-2406282125517.258175025526

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

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Costa, Filippo
Schaft, Eline V.
Huiskamp, Geertjan
Aarnoutse, Erik J.
van’t Klooster, Maryse A.
Krayenbühl, Niklaus
Ramantani, Georgia
Zijlmans, Maeike
Indiveri, Giacomo
Sarnthein, Johannes
SpringerLink (Online service)

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Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework

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