We propose to implement a recurrent neural network in hardware using spintronic oscillators as dynamical neurons. Using numerical simulations, we build a multilayer network and demonstrate that we can use back-propagation through time and standard machine-learning tools to train this network. The wide range of time scales that the network can handle enables high accuracy on time-series classification.

https://link.aps.org/doi/10.1103/PhysRevApplied.23.034051

https://arxiv.org/abs/2408.02835