Abstract: A signal processing method for neurons in a spiking neural network is disclosed. The spiking neural network includes a plurality of layers, each of the layers includes a plurality of neurons, and the signal processing method includes following steps: a receiving step: at least one neuron configured to receive at least one path of input spike train, an accumulation step: performing weighted summation based on the at least one path of input spike train to obtain a membrane potential, and an activation step: when the membrane potential exceeds a threshold value, determining an amplitude of a spike fired by the at least one neuron based on a ratio of the membrane potential to the threshold value.