학술논문

Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing
Document Type
Conference
Source
2022 IEEE International Symposium on Circuits and Systems (ISCAS) Circuits and Systems (ISCAS), 2022 IEEE International Symposium on. :316-320 May, 2022
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Power demand
Neuromorphic engineering
Firing
Neurons
Magnetic domains
Parallel processing
Magnetic domain walls
magnetism
spintronics
lateral inhibition
winner-take-all
domain wall racetrack
spin-transfer torque
neuromorphic computing
Language
ISSN
2158-1525
Abstract
Neuromorphic computing is a promising candidate for beyond-von Neumann computer architectures, featuring low power consumption and high parallelism. Lateral inhibition and winner-take-all (WTA) features play a crucial role in neuronal competition of the nervous system as well as neuromorphic hardwares. The domain wall - magnetic tunnel junction (DWMTJ) neuron is an emerging spintronic artificial neuron device exhibiting intrinsic lateral inhibition. In this paper we show that lateral inhibition parameters modulate the neuron firing statistics in a DW-MTJ neuron array, thus emulating soft-winner-take-all (WTA) and firing group selection.