四川师范大学学报（自然科学版）2025，Vol.48Issue(2)：176-191,16.DOI:10.3969/j.issn.1001-8395.2025.02.004
自旋类脑神经形态计算
Spin-based Brain-like Neuromorphic Computing
摘要
Abstract
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.关键词
自旋电子学/神经网络/神经形态计算/类脑人工智能芯片Key words
spintronics/neural network/neuromorphic computing/brain-inspired artificial intelligence chip分类
数理科学引用本文复制引用
张帅,陈丽娜,刘荣华..自旋类脑神经形态计算[J].四川师范大学学报（自然科学版）,2025,48(2):176-191,16.基金项目
国家自然科学基金(11774150和12074178)、江苏省青年基金(BK20200309)和江苏省纳米技术重点实验室开发基金 南京邮电大学科技基金(NY220164)对本文给予了资助,谨致谢意. （11774150和12074178）
