Neuromorphic hardware based on memristive nanodevices for seizure detection and recovery

No new data were created or analysed in this study.

Bibliographic Details
Authors:	Díez de los Ríos, Iván, Farsani, Javad, Ricci, Saverio, Bridarolli, Davide, Camuñas-Mesa, Luis A., Subramaniyam, Narayan, Tanskanen, Jarno, Hyttinen, Jari, Ielmini, Daniele, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabé
Format:	article
Status:	Published version
Publication Date:	2026
Country:	España
Institution:	Consejo Superior de Investigaciones Científicas (CSIC)
Repository:	DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:	oai:digital.csic.es:10261/422753
Online Access:	http://hdl.handle.net/10261/422753 https://api.elsevier.com/content/abstract/scopus_id/105030600565
Access Level:	Open access
Keyword:	Analog IC design Memristors Neuromorphic computing Neuromorphic hardware Spike timing dependent plasticity

Description
Summary:	No new data were created or analysed in this study.