Core processing neuron-enabled circuit motifs for neuromorphic computing  

作　　者：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 

机构地区：[1]School of Micro-Nano Electronics,Zhejiang University,Hangzhou,the People's Republic of China [2]ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou,the People's Republic of China [3]School of Materials Science and Engineering,Zhejiang University,Hangzhou,the People's Republic of China [4]Department of Polymer Science and Engineering,Zhejiang University,Hangzhou,the People's Republic of China [5]Gusu Laboratory of Materials,Suzhou,the People's Republic of China [6]Department of Chemistry,National University of Singapore,Singapore,Singapore [7]Joint Institute of Zhejiang University and the University of Illinois at Urbana-Champaign,Zhejiang University,Haining,the People's Republic of China [8]Cambridge Graphene Centre,Cambridge University Engineering Department,Cambridge,UK

出　　处：《InfoMat》2023年第11期78-88,共11页信息材料（英文）

基　　金：National Natural Science Foundation of China,Grant/Award Numbers:92264106,U22A2076,62090034,DT23F0401,DT23F04008,DT23F04009;Young Scientists Fund of the National Natural Science Foundation of China,Grant/Award Number:62204219。

摘　　要：Based on brain-inspired computing frameworks,neuromorphic systems implement large-scale neural networks in hardware.Although rapid advances have been made in the development of artificial neurons and synapses in recent years,further research is beyond these individual components and focuses on neuronal circuit motifs with specialized excitatory-inhibitory(E-I)connectivity patterns.In this study,we demonstrate a core processor that can be used to construct commonly used neuronal circuits.The neuron,featuring an ultracompact physical configuration,integrates a volatile threshold switch with a gate-modulated two-dimensional(2D)MoS_(2) field-effect channel to process complex E-I spatiotemporal spiking signals.Consequently,basic neuronal circuits are constructed for biorealistic neuromorphic computing.For practical applications,an algorithm-hardware co-design is implemented in a gatecontrolled spiking neural network with substantial performance improvement in human speech separation.

关 键 词：artificial intelligence hardware excitatory-inhibitory neurons neuronal circuit motifs speech separation spiking neural networks 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]