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.
@article{arxiv.2307.04607,
title = {A Memristor-Inspired Computation for Epileptiform Signals in Spheroids},
author = {Iván Díez de los Ríos and John Wesley Ephraim and Gemma Palazzolo and Teresa Serrano-Gotarredona and Gabriella Panuccio and Bernabé Linares-Barranco},
journal= {arXiv preprint arXiv:2307.04607},
year = {2023}
}
Comments
published in 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)