Spiking neural network target identification method

The invention provides a spiking neural network target identification method. The loss of neuron membrane potential is effectively avoided by constructing the proportional attenuation characteristic of a spiking neuron model, the spiking emission rate of neurons is ensured, and the problem that neuron spiking emission is not activated enough is solved; the problem of neuron spiking emission rate over-activation is effectively reduced by constructing the self-adaptive threshold characteristics of the spiking neuron model. 本发明提供了一种脉冲神经网络目标识别方法，通过构建脉冲神经元模型的比例衰减特性有效的避免的神经元膜电位的损失，保证了神经元的脉冲发放率，解决了神经元脉冲发放欠激活的问题；通过构建脉冲神经元模型的自适应阈值特性有效的降低了神经元脉冲发放率过激活的问题。