Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing
arXiv:2110.06737 · doi:10.1103/PhysRevB.105.014411
Abstract
We show analytically using a macrospin approximation that easy-plane spin Hall nano-oscillators excited by a spin-current polarized perpendicularly to the easy-plane have phase dynamics analogous to that of Josephson junctions. Similarly to Josephson junctions, they can reproduce the spiking behavior of biological neurons that is appropriate for neuromorphic computing. We perform micromagnetic simulations of such oscillators realized in the nano-constriction geometry and show that the easy-plane spiking dynamics is preserved in an experimentally feasible architecture. Finally we simulate two elementary neural network blocks that implement operations essential for neuromorphic computing. First, we show that output spikes energies from two neurons can be summed and injected into a following layer neuron and second, we demonstrate that outputs can be multiplied by synaptic weights implemented by locally modifying the anisotropy.
9 pages, 11 figures
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Cited by in corpus (8)
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- Voltage control of spin resonance in phase change materials
- First-principles Prediction of Potential Candidate Materials MCuX (M = V, Nb, Ta; X = S, Se, Te) for Neuromorphic Computing
- Nonlinear spin dynamics of ferromagnetic ring in the vortex state and its application for spin-transfer nano-oscillator
- Optimizing Hybrid Ferromagnetic Metal-Ferrimagnetic Insulator Spin-Hall Nano-Oscillators: A Micromagnetic Study