A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Autor:	Ríos, Iván Díez de los, Ephraim, John Wesley, Palazzolo, Gemma, Serrano-Gotarredona, Teresa, Panuccio, Gabriella, Linares-Barranco, Bernabé
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Artificial Intelligence
Zdroj:	AICAS, Hangzhou, China, 2023, pp. 1-5
Druh dokumentu:	Working Paper
DOI:	10.1109/AICAS57966.2023.10168611
Popis:	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. Comment: published in 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.04607 Zobrazit plný text záznamu View this record from Arxiv