학술논문

A Memristor-Inspired Computation for Epileptiform Signals in Spheroids
Document Type
Conference
Source
2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Artificial Intelligence Circuits and Systems (AICAS), 2023 IEEE 5th International Conference on. :1-5 Jun, 2023
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Microelectrodes
Neuromorphics
Circuits and systems
Rodents
Fingerprint recognition
Computational efficiency
Artificial intelligence
Regenerative medicine
biohybrid neuromorphic systems
epileptic signals
spiking neural networks
memristors.
Language
ISSN
2834-9857
Abstract
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.