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 |
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Rok vydání: | 2023 |
Předmět: | |
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 |
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