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Antiferromagnet-Based Neuromorphics Using Dynamics of Topological Charges by Zhang, Shu; Tserkovnyak, Yaroslav is a scholarly article available to read on EtoBox.

What is Antiferromagnet-Based Neuromorphics Using Dynamics of Topological Charges about?

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.

Author

Zhang, Shu; Tserkovnyak, Yaroslav

Published

2020

Language

EN