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 of this problem by training spiking neurons to assign the aggregate feedback signal to potentially effective clues. However. https://detectorexpertes.shop/product-category/reference-material/