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IF 22.7 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Infomat Pub Date : 2023-11-23 DOI:10.1002/inf2.12510

Hanxi Li, Jiayang Hu, Anzhe Chen, Yishu Zhang, Chenhao Wang, Beiduo Wang, Yi Tong, Jiachao Zhou, Kian Ping Loh, Yang Xu, Tawfique Hasan, Bin Yu

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引用次数: 0

Abstract

The cover image focuses on neuronal circuit motif with specialized excitatory–inhibitory connectivity pattern. The neuronal circuit is an advanced functional unit of the brain beyond neurons and synapses. Neurons do not function in isolation and are linked to ensembles or circuit motifs that process specific types of information, enables multidimensional signal processing in the information flow of the brain. The authors demonstrate a core processor that can be employed to construct commonly used neuronal circuits and further perform bio-realistic neuromorphic computing. Exploring the working principle, physical configuration, scalable design, and extensive signal-processing capabilities of core processing neuron is crucial for advancing hardware development for brain-inspired integrated neuromorphic systems.

Abstract Image

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封底图像

封面图像聚焦于神经元回路基序具有特殊的兴奋-抑制连接模式。神经元回路是大脑中超越神经元和突触的高级功能单位。神经元不是孤立地起作用，而是与处理特定类型信息的整体或电路基序相关联，使大脑信息流中的多维信号处理成为可能。作者展示了一个核心处理器，可以用来构建常用的神经元电路，并进一步进行生物逼真的神经形态计算。探索核心处理神经元的工作原理、物理结构、可扩展设计和广泛的信号处理能力，对于推进脑启发集成神经形态系统的硬件开发至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Infomat MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

37.70

自引率

3.10%

发文量

111

审稿时长

8 weeks

期刊介绍： InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.