A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

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

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摘要
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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关键词
Regenerative medicine,biohybrid neuromorphic systems,epileptic signals,spiking neural networks,memristors.
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