逻辑运算中基于反铁磁体的自旋霍尔振荡器

O. Sulymenko, O. Prokopenko
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引用次数: 0

摘要

大脑是一个由耦合神经元组成的复杂系统,每个神经元都可以表示为一个非线性振荡器。电脉冲通过突触在神经元间传递信息信号。这个过程可以改变神经元之间的耦合,这是通过突触实现的。神经形态计算是电子学的一个领域,它使用与人类大脑相似的原理。本文证明了基于反铁磁介质材料的自旋霍尔振荡器可以作为神经元在神经形态方案中工作。此外,我们还证明了这种afm神经元可以执行大多数逻辑操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spin Hall Oscillators Based on Antiferromagnets for Logic Operations
Brain is a complicated system of coupled neurons, each of which can be presented as a nonlinear oscillator. Electric pulses spreading from neuron to neuron trough the synapses transfer information signal. This process can change coupling between neurons, which is realized via synapses. Neuromorphic computing is field of electronics, which use the similar principals as human brain does. In this paper we show that spin Hall oscillator based on antiferromagnetic dielectric material can operate as a neuron in neuromorphic schemes. Also, we show that such AFM-neurons can execute most of the logical operation.
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