神经元固有特性对针刺网络编码影响的机制研究

项目名称： 神经元固有特性对针刺网络编码影响的机制研究

项目编号： No.61471265

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 王江

作者单位： 天津大学

项目金额： 85万元

中文摘要： 针灸是中医的重要组成部分,其作用机制研究对手法量化、标准化具有重要的理论意义和实用价值；针刺神经元网络的编解码是阐释针刺机制的重要科学问题之一，但目前研究结果鲜见报道。首次提出从神经网络角度刻画针刺的编码机制，探索神经元固有特性对网络编码影响的机制。将实验数据分析、模型分析相结合描述神经元固有特性对其输入输出特性的影响、输入输出特性对同步的影响及同步对网络编码影响的规律。利用状态空间实现多阵列针刺电信号的分类和相关分析，量化针刺输入与神经元网络的响应特性；用前馈网络模拟针刺电信号传导通路，采用虚拟网络刻画神经元固有特性与针刺输入、突触输入相互作用的机制及对同步的影响；用相关性特征量化针刺神经元网络同步编码规律；将实验数据、统计分析和计算模型相结合，建立具有生物物理特征的神经元和前馈网络模型，刻画神经元固有特性对网络同步和编码的影响机制。本研究将为针刺手法量化、标准化提供一条新思路。

中文关键词： 针刺；网络编码；同步；神经元固有特性；相关性

英文摘要： As the most important component of the traditional Chinese medicine, the acupuncture has increasingly attracted attentions from various researchers. The related studies show significant theoretical and practical meanings for the quantization and standardization of acupuncture techniques. The encoding and decoding of acupunctured neuron networks is regarded as one of the most important research topics to scientifically explain the acupuncture mechanism. However, corresponding research results are seldom reported in public. This study first proposes a neuronal-network-based method to explain the encoding mechanism of the acupuncture technology, aiming to explore the impact of the intrinsic properties on the network encoding mechanism, thereby establishing the quantitative relationship between the acupuncture and neuron responses. By synthetically analyzing the experimental data and mathematical model, this study demonstrates the rule of impacts among the intrinsic properties, input-output characteristics, synchronization, and neuronal network encoding. Also, by utilizing the state space method to realize the classification of multi-array acupuncture electric signals and correlation-based analysis, this study explains the characteristics of neuron responses to the acupuncture input. Based on the feed-forward network, additionally, the acupuncture conduction can be successfully emulated in this study. Accordingly, the virtual network method is proposed and implemented to describe the interactions between the neuronal intrinsic properties and acupuncture and synaptic inputs, as well as the corresponding impact on the synchronized conduction. Then, the encoding rules of the acupunctured neuronal network can be successfully quantized according to corresponding characteristics. Besides, this study integrates the experimental data, statistical analysis and computational model, establishes the biophysical neuron model, describes the impact of the neuronal intrinsic properties on the synchronized conduction and encoding mechanisms of neuronal network. This study may provide an approach that realizes the quantization of the acupuncture technique and the prediction of the encoding.

英文关键词： acupuncture;network coding;synchronization;neuronal intrinsic properties;correlation