Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network

arXiv:2208.01416v2 Announce Type: replace-cross
Abstract: Despite the widespread adoption of Backpropagation algorithm-based Deep Neural Networks, the biological infeasibility of the BP algorithm could potentially limit the evolution of new DNN models. To find a biologically plausible algorithm to replace BP, we focus on the top-down mechanism inherent in the biological brain. Although top-down connections in the biological brain play crucial roles in high-level cognitive functions, their application to neural network learning remains unclear. This study proposes a two-level training framework …

abstract adoption algorithm arxiv backpropagation credit cs.lg cs.ne dnn evolution focus network networks neural networks training type