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 graco ascent as the temporal credit-assignment problem.The aggregate-label learning algorithms make an explicit representation of this problem by training spiking neurons to assign the aggregate feedback

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