A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Iván Díez de los Ríos; John Wesley Ephraim; Gemma Palazzolo; Teresa Serrano-Gotarredona; Gabriella Panuccio; Bernabé Linares-Barranco

doi:10.1109/aicas57966.2023.10168611

arXiv · 2307.04607

A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Iván Díez de los Ríos·John Wesley Ephraim·Gemma Palazzolo·Teresa Serrano-Gotarredona·Gabriella Panuccio·Bernabé Linares-Barranco

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Abstract

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.

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Iván Díez de los Ríos, John Wesley Ephraim, Gemma Palazzolo, Teresa Serrano-Gotarredona, Gabriella Panuccio, Bernabé Linares-Barranco. 2023-07-10. A Memristor-Inspired Computation for Epileptiform Signals in Spheroids. https://doi.org/10.1109/aicas57966.2023.10168611

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