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Enhancing orderly signal propagation between layers of neuronal networks through spike timing-dependent plasticity

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成果类型:
期刊论文
作者:
Wu, Yong;Huang, Weifang;Ding, Qianming;Jia, Ya;Yang, Lijian;...
通讯作者:
Jia, Y
作者机构:
[Wu, Yong; Huang, Weifang; Yang, Lijian; Jia, Ya; Ding, Qianming] Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
[Fu, Ziying] Cent China Normal Univ, Sch Life Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Jia, Y ] C
Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Spike timing-dependent plasticity;Multi-layer neuronal network;Signal propagation
期刊:
Physics Letters A
ISSN:
0375-9601
年:
2024
卷:
519
页码:
129721
基金类别:
CRediT authorship contribution statement Yong Wu: Writing – original draft, Software, Investigation, Conceptualization. Weifang Huang: Validation, Resources, Formal analysis. Qianming Ding: Visualization, Resources, Methodology. Ya Jia: Writing – review & editing, acquisition, Conceptualization. Lijian Yang: Validation, Investigation. Ziying Fu: Validation, Methodology.
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
生命科学学院
摘要:
Electrical signal propagation in multi-layer neural networks plays a crucial physiological role. This study constructs a three-layer neural network to simulate the orderly propagation of signals between senses, exploring its neural basis. Comprising input, learning, and output layers, the network employs a voltage-based spike-timing- dependent plasticity (STDP) rule to control synaptic interactions, aiming to learn functional relationships to facilitate signal propagation. Research indicates the network can effectively transmit signals under suitable conditions, whether or not there are synapt...

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