Harnessing uncertainty when learning through Equilibrium Propagation in neural networks

Jonathan Peters, Philippe Talatchian

Equilibrium Propagation (EP) is a supervised learning algorithm that trains network parameters using local neuronal activity. This is in stark contrast to backpropagation, where up…