Domain wall dynamics in HM/FM nanotracks emulate ReLU neurons and step-like quantized synapses, yielding simulated ANN accuracies of 97% on MNIST and 86% on Fashion-MNIST.
Stt-snn: A spin-transfer-torque based soft-limiting non-linear neuron for low-power artificial neural networks,
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Spintronic Neuromorphic Hardware Using Domain Wall Based Neurons and Quantized Synapses
Domain wall dynamics in HM/FM nanotracks emulate ReLU neurons and step-like quantized synapses, yielding simulated ANN accuracies of 97% on MNIST and 86% on Fashion-MNIST.