2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
NeurIPS 2021poster
One of the key challenges in training Spiking Neural Networks (SNNs) is that target outputs typically come in the form of natural signals, such as labels for classification or images for generative models, and need to be encoded into spikes. This is done by handcrafting target spiking signals, which…