椭球中癫痫样信号的忆阻器启发计算

2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Pub Date : 2023-06-11 DOI:10.1109/AICAS57966.2023.10168611

Ivan Diez-de-los-Rios, J. Ephraim, G. Palazzolo, T. Serrano-Gotarredona, G. Panuccio, B. Linares-Barranco

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引用次数: 0

摘要

在本文中，我们提出了一种忆阻器启发的计算方法，用于获得啮齿动物海马球体产生的癫痫样活动的一种运行“谱图”或“指纹”。它可用于动态计算并且计算成本低的癫痫发作事件的警报级信号。在这里，我们描述了这种“指纹”技术背后的计算方法，并使用微电极阵列系统从海马球体记录的癫痫样事件来说明它。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

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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2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)

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