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://www.diegojavierfares.com/limited-save-1-64-Lowndes-2010-Triple-Eight-Race-Engineering-Suits-Holden-VE-Commodore-64168-special-save/