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Study on propagation efficiency and fidelity of subthreshold signal in feed-forward hybrid neural network under electromagnetic radiation

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成果类型:
期刊论文
作者:
Wang, Guowei;Ge, Mengyan;Lu, Lulu;Jia, Ya(贾亚);Zhao, Yunjie*
通讯作者:
Zhao, Yunjie
作者机构:
[Jia, Ya; Lu, Lulu; Ge, Mengyan; Wang, Guowei; Zhao, Yunjie] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
[Jia, Ya; Lu, Lulu; Ge, Mengyan; Wang, Guowei; Zhao, Yunjie] Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
通讯机构:
[Zhao, Yunjie] C
Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Signal propagation;Fidelity;Noise;Feed-forward hybrid neural network;Electromagnetic radiation
期刊:
Nonlinear Dynamics
ISSN:
0924-090X
年:
2021
卷:
103
期:
3
页码:
2627-2643
基金类别:
This project is supported by National Natural Science Foundation of China under Grants Nos. 11775091 and 11704140, and the self-determined research funds of CCNU from the college’ basic research and operation of MOE under No. CCNU20TS004.
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
心理学院
摘要:
The hybrid neural model provides a computationally effective and biophysics-based neuron behavior model, which maintains its simplicity by incorporating the dynamics characteristics of ion channels in two fast ion channels. In view of the issue of signal propagation in multilayer network composed of hybrid neurons is still unclear and the role of neural network is mainly used to generate biological consciousness and help creatures to think and act, it is necessary to explore neural network with more perfect function and better transmission efficiency. Considering a feed-forward neural network ...

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