IM-Loss: Information Maximization Loss for Spiking Neural Networks Y ufei Guo, Y uanpei Chen

I ( U; O) = H (O) (10) A.2 Algorithm The proposed training algorithm of an SNN is presented in Algo.1.Algorithm 1 The proposed training algorithm of an SNN.Input: Initialized SNN; training dataset; total training epochs, I; training iterations per epoch, J .