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arXiv · 2003.11058

Antiferromagnet-Based Neuromorphics Using Dynamics of Topological Charges

Shu Zhang·Yaroslav Tserkovnyak
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Abstract

We propose a spintronics-based hardware implementation of neuromorphic computing, specifically, the spiking neural network, using topological winding textures in one-dimensional antiferromagnets. The consistency of such a network is emphasized in light of the conservation of topological charges, and the natural spatiotemporal interconversions of magnetic winding. We discuss the realization of the leaky integrate-and-fire behavior of neurons and the spike-timing-dependent plasticity of synapses. Our proposal opens the possibility for an all-spin neuromorphic platform based on antiferromagnetic insulators.

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Shu Zhang, Yaroslav Tserkovnyak. 2020-03-24. Antiferromagnet-Based Neuromorphics Using Dynamics of Topological Charges. https://doi.org/10.1103/physrevlett.125.207202

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