Voltage slope guided learning in spiking neural networks
A thorny problem in machine learning is how to extract useful clues related to delayed feedback signals from the clutter of input activity, known as the temporal credit-assignment problem.The aggregate-label learning algorithms make an explicit representation new belial model of this problem by training spiking neurons to assign the aggregate feedb