Decision making module based on stochastic magnetic tunnel junctions

IF 6.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Science China Physics, Mechanics & Astronomy Pub Date : 2024-11-06 DOI:10.1007/s11433-024-2486-y
Yifan Miao, Li Zhao, Yajun Zhang, Zhe Yuan
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Abstract

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive tasks. Decision-making in biological neural system is typically achieved by accumulating input information over a period of time. Inspired by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

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基于随机磁隧道结的决策模块
在生物神经系统中,噪声无处不在,但不会影响复杂认知任务中的正确决策。生物神经系统的决策通常是通过在一段时间内积累输入信息来实现的。受神经科学最新发展的启发,我们设计了一种基于自旋电子器件的决策模块,利用超顺磁性隧道结作为人工神经元。我们通过电路仿真验证了这一决策模块的可行性。以多层感知器为例,该模块在手写数字识别任务中显著提高了感知器的准确性。此外,与传统的集合方法相比,自旋电子决策模块具有自适应决策时间、高性能和无需模数转换等优点。该决策模块可灵活地集成到人工神经网络中,并提供了一种通用而有效的解决方案,以提高抗器件噪声的性能。
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来源期刊
Science China Physics, Mechanics & Astronomy
Science China Physics, Mechanics & Astronomy PHYSICS, MULTIDISCIPLINARY-
CiteScore
10.30
自引率
6.20%
发文量
4047
审稿时长
3 months
期刊介绍: Science China Physics, Mechanics & Astronomy, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research. Science China Physics, Mechanics & Astronomy, is published in both print and electronic forms. It is indexed by Science Citation Index. Categories of articles: Reviews summarize representative results and achievements in a particular topic or an area, comment on the current state of research, and advise on the research directions. The author’s own opinion and related discussion is requested. Research papers report on important original results in all areas of physics, mechanics and astronomy. Brief reports present short reports in a timely manner of the latest important results.
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