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.