基于互信息的生物神经网络功能性连接辨识

摘要

The identification methods of biological neural network( BNN)functional connections have been widely used in building network connecting structure with multi-channel time series data of BNN. The investigation of connective structures of BNN helps to further deepen awareness and understanding of their relations to various network functions of BNN. First,synthetic BNN models are established using integrate-and-fire( IF)mechanism, and multi-channel pulse series data are generated form the network. Then,using mutual information( MI)method, MI between the two neuron nodes can be calculated,which exceeds a certain threshold value indicating that there is a connection between the two neurons. Simulation result shows that the network identification method based on MI has a small computational cost,also it has a high accuracy for identifying the BNN functional connection structures.%生物神经网络（ BNN）功能性连接的辨识方法被广泛地应用于使用BNN的多通道时间序列数据构建网络连接结构，帮助加深对BNN结构和功能间关系的认识和理解。首先，建立基于积分点火（ IF）机制的BNN模型，获得多通道神经元脉冲序列；然后，运用互信息（ MI）方法计算出各神经元间的MI值，超过一定阈值的MI表明两个神经元间存在相互连接关系。仿真结果表明：基于MI的网络辨识方法计算开销较小，对BNN功能性连接结构具有较高的辨识度。