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

The author proposes a novel top-down credit assignment framework to optimize neural networks, replacing traditional backpropagation and loss functions. This approach aims to enhance training efficiency and biological plausibility in deep learning models.