Comparative study on the anti-interference characteristics of different chemical synaptic neuron networks(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第11期
- Page:
- 1392-1403
- Research Field:
- 医学生物物理
- Publishing date:
Info
- Title:
- Comparative study on the anti-interference characteristics of different chemical synaptic neuron networks
- Author(s):
- SONG Yingjian; LU Mai; LI Xiang
- Key Laboratory of Optoelectronic Technology and Intelligent Control (Ministry of Education), Lanzhou Jiaotong University, Lanzhou 730070, China
- Keywords:
- Keywords: Hodgkin-Huxley model neuron network numerical simulation chemical synapse anti-interference characteristics
- PACS:
- R318；Q811.2
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.11.011
- Abstract:
- Abstract: Objective Based on 5 different chemical synaptic models, the anti-interference characteristics of neural network based on Hodgkin-Huxley neuron model are compared and studied. Methods The Hodgkin-Huxley neuron model and chemical synapses were used to construct biological neuron networks with different topologies by numerical simulation. By constructing different chemical synaptic neuron networks, the specificity of neuron anti-interference under the stimulation of sine wave signal superimposed with certain Gaussian white noise was studied, and the signal transmission mode of neuron networks under different stimulation signals was analyzed. The correlation coefficient method was used to calculate the correlation coefficient of the 0-50 ms of neuron 10 in the network under two kinds of stimulation signals, and the quantitative analysis was carried out. Results The anti-interference characteristics of the neural network were related to the chemical synaptic model, and the anti-interference waveforms of neural networks constructed based on different chemical synaptic models were different. Under the two stimulation signals, the correlation coefficients of the first 50 ms of neuron 10 in the network constructed by the 5 types of chemical synapses were 0.141 2, 0.914 5, 0.996 5, 0.567 3 and 0.881 6, respectively. The types 2 and 3 chemical synapses exhibited better anti-interference ability than the other types the types 2 and 3 chemical synapse model were the most complex and the types 4 and 5 chemical synapses had the fastest delayed response. Conclusion The types 2 and 3 chemical synapse models are most suitable for studying the anti-interference characteristics of neural networks. This study provides some insights into the selection of chemical synapses in the construction of neuron networks.
Last Update: 2024-11-26