2020
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
ICLR 2020poster
Event-based neuromorphic systems promise to reduce the energy consumption of deep neural networks by replacing expensive floating point operations on dense matrices by low energy, sparse operations on spike events. While these systems can be trained increasingly well using approximations of the back…