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| Study on Electromagnetic Protection Bionics by Mimicking the Anti-interference Me-chanism of Neural network |
| Received:October 31, 2016 Revised:April 15, 2017 |
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| DOI：10.7643/ issn.1672-9242.2017.04.003 |
| KeyWord:S-space coding theory Hodgkin-Huxley model noise anti-inference |
| Author | Institution |
| MAN Meng-hua |
Electrostatic & Electromagnetic Protection Institute, Ordnance Engineering College, Shijiazhuang , China |
| CAI Na |
Ordnance Technical Research Institute, Shijiazhuang , China |
| MA Gui-lei |
Electrostatic & Electromagnetic Protection Institute, Ordnance Engineering College, Shijiazhuang , China |
| WANG Zhen |
Langfang Institute of Health Education, Langfang , China |
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| Abstract: |
| Objective To study the good anti-interference ability of neural system of organism appears during information process, which can bring enlightenment to the study of bio-inspired electromagnetic protection. Methods We study the underlying mechanism of neural information processing in noise by using the modified bursting Hodgkin-Huxley neuron model to construct simulation models of neural system and S-space coding theory to analyzing neural information. The neural simulation model with different noise intensity is built, the neural information is coded by S-space coding theory, and influence of noise on neural coding is discussed. Results The results show that the neural information is encoded to symbol sequences in S-space and the frequency of input signal has monotonic relationship with the symbol sequences. The input noise changes the symbols of the symbol sequences but does not change the monotonic relationship, that is, the input noise doesn’t influence the information processing in S-space. Conclusion S-space coding theory is an important mechanism for anti-interference ability of neural system, which is worth to draw lessons from by electronic system. |
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