Stochastic Magnetoelectric Neuron for Temporal Information Encoding

TL;DR

This paper introduces a magnetoelectronic neuron leveraging noise for temporal information encoding, advancing neuromorphic computing by mimicking brain-like cognitive functions.

Contribution

It presents a novel magnetoelectronic neuron design that uses noise as a computational resource for encoding temporal information.

Findings

Device operation characterized through simulations

Suitable for neuromorphic platforms

Capable of encoding information over time

Abstract

Emulating various facets of computing principles of the brain can potentially lead to the development of neuro-computers that are able to exhibit brain-like cognitive capabilities. In this letter, we propose a magnetoelectronic neuron that utilizes noise as a computing resource and is able to encode information over time through the independent control of external voltage signals. We extensively characterize the device operation using simulations and demonstrate its suitability for neuromorphic computing platforms performing temporal information encoding.