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具有生长和衰老机制的生物神经网络的兴奋特性研究 被引量:2

Study on Excited Properties of Biological Neural Networks with Growth and Decay Mechanism
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摘要 在具有侧向抑制机制的小世界人工生物神经网络中,对神经元的放电特性引入增长和衰老机制,构建具有模仿实际生物神经网络生长和衰老功能的网络模型。为了研究该网络模型表现出来的发放电的特性与实际生物神经网络行为之间的一些关系,本研究数值仿真分析了该网络模型在不同噪声强度和不同耦合强度下的兴奋特性,发现模拟结果与实际生物神经网络在神经细胞处于生长发育或衰老时,对外界刺激所表现出的兴奋效应及其饱和效应有一定程度上的相似性,研究结果对探索实际生物神经网络的兴奋特性和放电节律具有较好的参考价值。 In the small-world artificial biological neural network which has lateral inhibition mechanism, the growth and decay mechanism of the discharge characteristics of neurons was introduced. A new network model has been established, which could imitate certain growth and decay function of actual biological neural networks. In order to study the relationships between discharge nature and the behavior of actual biological networks, numerical simulation analysis was conducted at different noise and different coupling intensity. It was found that the simulation results were similar to that of natural biological networks in excitement characteristics and saturation effect under external stimulation when neural cells were at the state of growth and decay. The results were valuable for exploring the excitement and discharge rhythm of actual biological neural networks.
出处 《中国生物医学工程学报》 CAS CSCD 北大核心 2008年第6期822-826,837,共6页 Chinese Journal of Biomedical Engineering
基金 国家自然科学基金资助项目(70571017) 广西研究生教育创新计划(2006106020809M36)
关键词 小世界生物神经网络 Hodgkin-Huxley方程 增长和衰老机制 small-world biological neural network Hodgkin-Huxley equation growth and decay mechanism
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