A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Bernab\'e Linares-Barranco; Gabriella Panuccio; Gemma Palazzolo; Iv\'an D\'iez de los R\'ios; John Wesley Ephraim; Teresa Serrano-Gotarredona

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arxiv 2307.04607 v1 pith:NNL23ABS submitted 2023-07-10 eess.SP cs.AI

A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Iv\'an D\'iez de los R\'ios , John Wesley Ephraim , Gemma Palazzolo , Teresa Serrano-Gotarredona , Gabriella Panuccio , Bernab\'e Linares-Barranco This is my paper

classification eess.SP cs.AI

keywords epileptiformcomputationalspheroidseventsfingerprinthippocampalmemristor-inspiredmethod

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In this paper we present a memristor-inspired computational method for obtaining a type of running spectrogram or fingerprint of epileptiform activity generated by rodent hippocampal spheroids. It can be used to compute on the fly and with low computational cost an alert-level signal for epileptiform events onset. Here, we describe the computational method behind this fingerprint technique and illustrate it using epileptiform events recorded from hippocampal spheroids using a microelectrode array system.

A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

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