Abstract

The quest for highly efficient cognitive computing has led to extensive research interest for the field of neuromorphic computing. Neuromorphic computing aims to mimic the behavior of biological neurons and synapses using solid-state devices and circuits. Among various approaches, emerging non-volatile memory technologies are of special interest for mimicking neuro-synaptic behavior. These devices allow the mapping of the rich dynamics of biological neurons and synapses onto their intrinsic device physics. In this letter, we focus on Spike Timing Dependent Plasticity (STDP) behavior of biological synapses and propose a method to implement the STDP behavior in Magnetic Tunnel Junction (MTJ) devices. Specifically, we exploit the time-dependent heat dynamics and the response of an MTJ to the instantaneous temperature to imitate the STDP behavior. Our simulations, based on a macro-spin model for …

Metadata

publication

arXiv e-prints, arXiv: 2108.12684, 2021

year

2021

publication date

2021/8

authors

Humberto Inzunza Velarde, Jheel Nagaria, Zihan Yin, Ajey Jacob, Akhilesh Jaiswal

link

https://ui.adsabs.harvard.edu/abs/2021arXiv210812684I/abstract

journal

arXiv e-prints

pages

arXiv: 2108.12684