The recurrent neural network, a machine-learning approach, is a mathematical model that emulates neuronal function in the human brain. The authors report a quantitative analysis of the figures of merit for reservoir computing, which is a type of recurrent neural network, using the spintronic devices known as magnetic tunnel junctions (MTJs). While MTJs are usually investigated in the context of high-density nonvolatile digital storage, these results show that they are also suitable for advanced computation.
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Furuta et al. (2018) studied this question.