Heterogeneous Time Constants Improve Stability in Equilibrium Propagation

Researchers introduced heterogeneous time steps (HTS) for equilibrium propagation, a biologically plausible alternative to backpropagation for training neural networks. The approach assigns neuron-specific time constants based on biological distributions, improving training stability while maintaining competitive performance and enhancing biological realism.