首页|Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network

Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network

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Mott devices,featuring low hardware cost and high energy efficiency,have been demonstrated as a key oscillatory element in artificial neurons to enable spiking neural networks(SNNs)such as conversion-based SNNs(CSNNs).However,there will be inevitably non-ideal fluctuation in the oscillation behavior,causing the accuracy degradation of networks.In this paper,we investigate the Mott neuronal oscillation fluctuation(NOF)through experiments and modeling.The results show that the NOF phenomenon conforms to Gaussian distribution and originates from thermal fluctuation induced switching voltage variations.We construct a two-layer CSNN for image recognition tasks to study the NOF effect and propose the activation function boundary(AFB)method to strengthen the stability of the network.The results indicate that AFB can improve the accuracy of CSNN by up to 15.5％by tightening output distribution.

Mott neuronoscillation fluctuationvariation-aware Mott neuronal modelconversion-based spiking neural networkactivation function boundary

Lindong WU、Zongwei WANG、Lin BAO、Linbo SHAN、Zhizhen YU、Yunfan YANG、Shuangjie ZHANG、Guandong BAI、Cuimei WANG、John ROBERTSON、Yuan WANG、Yimao CAI、Ru HUANG

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School of Integrated Circuits,Peking University,Beijing 100871,China

Beijing Advanced Innovation Center for Integrated Circuits,Beijing 100871,China

State Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts and Telecommunications,Beijing 100871,China

Department of Engineering,University of Cambridge,Cambridge CB2 1PZ,UK

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National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaBeijing Nova Program111 project

2019YFB220540161834001620254016192790120220484113B10081

2024

10.1007/s11432-023-3745-y

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子：0.715
ISSN：1674-733X
年,卷(期)：2024.67(2)
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