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

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

Abstract Interictal Epileptiform Discharges (IED) and High Frequency Oscillations (HFO) in intraoperative electrocorticography (ECoG) may guide the surgeon by delineating the epileptogenic zone. We designed a modular spiking neural network (SNN) in a mixed-signal neuromorphic device to process the E...

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Bibliographic Details
Main Authors: Filippo Costa, Eline V. Schaft, Geertjan Huiskamp, Erik J. Aarnoutse, Maryse A. van’t Klooster, Niklaus Krayenbühl, Georgia Ramantani, Maeike Zijlmans, Giacomo Indiveri, Johannes Sarnthein
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-47495-y

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https://doi.org/10.1038/s41467-024-47495-y

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