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

no code implementations • 1 Aug 2022 • Jian-Hui Chen, Cheng-Lin Liu, Zuoren Wang

We further introduce a brain-inspired credit diffusion mechanism, significantly reducing the TDCA-network's parameter complexity, thereby greatly accelerating training without compromising the network's performance. Our experiments involving non-convex function optimization, supervised learning, and reinforcement learning reveal that a well-trained TDCA-network outperforms back-propagation across various settings.

Biologically-plausible Training reinforcement-learning