A Study Of Integrate-and-Fire Model And It's Application

To study the Integrate-and-Fire(IF) model, a new simple IF model is gaved. Although this model has a certain number of risky simplification, it characterizes many aspects of real neurous. Especially,it is comparatively good that the model matches the non-linear performance of the synaptic connection. And then we analyse the behaviors of the Integrate-and-Fire model with the Poisson distribution input,and get some good result. With the input of Xingyun picture,we find the autowave characteristic of IF model neural network.Especially, in this paper, we also develop a neuron learning rule for this new model. And the learning rule's feasibility is then tested in blind signal separation. With supervised learning and unsupervised learning, we get good results. At the end of this paper,we make a summary.