Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks

Abstract

Error backpropagation is an extremely effective algorithm for assigning credit in artificial neural networks. However, weight updates under Backprop depend on lengthy recursive computations and require separate output and error messages – features not shared by biological neurons, that are perhaps unnecessary. In this paper, we revisit Backprop and the… (More)

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