The structure identification of feedforward neuronal network based on adaptive synchronization

Ming Xue, Jiang Wang, Chenhui Jia, Bin Deng, Xile Wei, Yanqiu Che

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The function of the neuronal network is neural code. In the network, neurons connect with each other by synapses. The stability of synaptic connections ensures the reliable transmission of spiking activity in the network, which is one of the key properties of candidate neural code. However, some nervous system diseases can lead to some synaptic connections lost stochastically in the neuronal network, which will disturb the reliability of transmission seriously. For studying the transmission feature of the potential neural code, it is necessary to detect whether there exist lost synapses and their position in the network. In this paper, a virtual network is built to identify the synaptic connection structure in the feedforward neuronal network. Through the adaptive estimation method, the variable connections in the virtual network detected the connected and unconnected synapses successfully in the feedforward neuronal network. Furthermore, our simulation results proved that the theoretical analysis is effective. This research provides a general method to detect the lost synapses in the feedforward neuronal network.

Original languageEnglish (US)
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages2508-2512
Number of pages5
Volume5
DOIs
StatePublished - Dec 1 2011
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: Oct 15 2011Oct 17 2011

Other

Other4th International Congress on Image and Signal Processing, CISP 2011
CountryChina
CityShanghai
Period10/15/1110/17/11

Fingerprint

Identification (control systems)
Synchronization
Neurology
Neurons
Neural networks

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Xue, M., Wang, J., Jia, C., Deng, B., Wei, X., & Che, Y. (2011). The structure identification of feedforward neuronal network based on adaptive synchronization. In Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011 (Vol. 5, pp. 2508-2512). [6100687] https://doi.org/10.1109/CISP.2011.6100687
Xue, Ming ; Wang, Jiang ; Jia, Chenhui ; Deng, Bin ; Wei, Xile ; Che, Yanqiu. / The structure identification of feedforward neuronal network based on adaptive synchronization. Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011. Vol. 5 2011. pp. 2508-2512
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Xue, M, Wang, J, Jia, C, Deng, B, Wei, X & Che, Y 2011, The structure identification of feedforward neuronal network based on adaptive synchronization. in Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011. vol. 5, 6100687, pp. 2508-2512, 4th International Congress on Image and Signal Processing, CISP 2011, Shanghai, China, 10/15/11. https://doi.org/10.1109/CISP.2011.6100687

The structure identification of feedforward neuronal network based on adaptive synchronization. / Xue, Ming; Wang, Jiang; Jia, Chenhui; Deng, Bin; Wei, Xile; Che, Yanqiu.

Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011. Vol. 5 2011. p. 2508-2512 6100687.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Xue M, Wang J, Jia C, Deng B, Wei X, Che Y. The structure identification of feedforward neuronal network based on adaptive synchronization. In Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011. Vol. 5. 2011. p. 2508-2512. 6100687 https://doi.org/10.1109/CISP.2011.6100687