  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.
