AINeutralarXiv – CS AI · Mar 54/10
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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.