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Title: Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing
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.  more » « less
Award ID(s):
1940788
NSF-PAR ID:
10400582
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Page Range / eLocation ID:
316 to 320
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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