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.