In recent years, neuromorphic computing has been intensively investigated, to take over the conventional or von Neumann scheme. Herein, the advantages of memristors as neurons and synapses are discussed. After a brief introduction to biological neurons and synapses, focus is put on spin-based devices, including magnetic tunnel junction (MTJ) and domain wall devices. Certain materials and device designs aim at mimicking synapses’ functionality, whereas others gather both neurons and synapses. The advancements in spin-based memory applications are of great advantage for neuromorphic computing and their implementation is presented herein.
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