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System Identification of Neural Signal Transmission Based on Backpropagation Neural Network
Joint Authors
Li, Xiangyu
Yuan, Chunhua
Shan, Bonan
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The identification method of backpropagation (BP) neural network is adopted to approximate the mapping relation between input and output of neurons based on neural firing trajectory in this paper.
In advance, the input and output data of neural model is used for BP neural network learning, so that the identified BP neural network can present the transfer characteristics of the model, which makes the network precisely predict the firing trajectory of the neural model.
In addition, the method is applied to identify electrophysiological experimental data of real neurons, so that the output of the identified BP neural network can not only accurately fit the neural firing trajectories of neurons participating in the network training but also predict the firing trajectories and spike moments of neurons which are not involved in the training process with high accuracy.
American Psychological Association (APA)
Li, Xiangyu& Yuan, Chunhua& Shan, Bonan. 2020. System Identification of Neural Signal Transmission Based on Backpropagation Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1202389
Modern Language Association (MLA)
Li, Xiangyu…[et al.]. System Identification of Neural Signal Transmission Based on Backpropagation Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1202389
American Medical Association (AMA)
Li, Xiangyu& Yuan, Chunhua& Shan, Bonan. System Identification of Neural Signal Transmission Based on Backpropagation Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1202389
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202389