An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG

A major challenge across a variety of fields is how to process the vast quantities of data produced by sensors without large computation resources. Here, the authors present a neuromorphic chip which can detect a relevant signature of epileptogenic tissue from intracranial recordings in patients.

Guardado en:

Detalles Bibliográficos
Autores principales:	Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a3cfb68b64334917b81d3f7c9301c80a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a3cfb68b64334917b81d3f7c9301c80a
record_format	dspace
spelling	oai:doaj.org-article:a3cfb68b64334917b81d3f7c9301c80a2021-12-02T14:49:22ZAn electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG10.1038/s41467-021-23342-22041-1723https://doaj.org/article/a3cfb68b64334917b81d3f7c9301c80a2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23342-2https://doaj.org/toc/2041-1723A major challenge across a variety of fields is how to process the vast quantities of data produced by sensors without large computation resources. Here, the authors present a neuromorphic chip which can detect a relevant signature of epileptogenic tissue from intracranial recordings in patients.Mohammadali SharifshazilehKarla BureloJohannes SarntheinGiacomo IndiveriNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mohammadali Sharifshazileh Karla Burelo Johannes Sarnthein Giacomo Indiveri An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
description	A major challenge across a variety of fields is how to process the vast quantities of data produced by sensors without large computation resources. Here, the authors present a neuromorphic chip which can detect a relevant signature of epileptogenic tissue from intracranial recordings in patients.
format	article
author	Mohammadali Sharifshazileh Karla Burelo Johannes Sarnthein Giacomo Indiveri
author_facet	Mohammadali Sharifshazileh Karla Burelo Johannes Sarnthein Giacomo Indiveri
author_sort	Mohammadali Sharifshazileh
title	An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
title_short	An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
title_full	An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
title_fullStr	An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
title_full_unstemmed	An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
title_sort	electronic neuromorphic system for real-time detection of high frequency oscillations (hfo) in intracranial eeg
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a3cfb68b64334917b81d3f7c9301c80a
work_keys_str_mv	AT mohammadalisharifshazileh anelectronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT karlaburelo anelectronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT johannessarnthein anelectronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT giacomoindiveri anelectronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT mohammadalisharifshazileh electronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT karlaburelo electronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT johannessarnthein electronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg AT giacomoindiveri electronicneuromorphicsystemforrealtimedetectionofhighfrequencyoscillationshfoinintracranialeeg
_version_	1718389527524933632

An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG

Ejemplares similares