Unifying Activation-and Timing-based Learning Rules for Spiking Neural Networks Jinseok Kim 1 Kyungsu Kim

In this context, several studies have reported promising results with the gradient-based supervised learning methods that takes account of those characteristics [8-13]. Previous works on gradient-based supervised learning for SNNs can be classified into two categories.