Brain-like neuromorphic computing aims to simulate and implement the brain's information processing and learning capa-bilities to address complex computational problems.One of the key ideas is to mimic the behavior of biological neurons and synapses to achieve information transmission,processing,and storage.With their non-volatile nature,high speed,low power consumption,near-infinite durability,and inherent nonlinearity,spintronic devices have been widely explored and shown remarkable performance in neu-romorphic computing.Based on various magnetoresistance effects,spin-transfer and spin-orbit torques,voltage-controlled magnetic ani-sotropy,and nonlinear magnetization dynamics,this review provides an overview of the application of different spintronic devices in res-ervoir computing,Ising machines,spiking neural networks,and true random number generators.These examples are just the tip of the iceberg,but they demonstrate the promising potential of spin-based brain-like neuromorphic computing hardware in artificial intelli-gence chips.
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