2026
Dynamics and representation structure of local approximations to gradient-based learning in linear recurrent neural networks
ICML 2026poster
Biological and neuromorphic recurrent neural networks (RNNs) are subject to spatial and temporal locality constraints on the information that can plausibly be used during learning. A common strategy to satisfy these constraints is to modify gradient descent by neglecting non-local terms to varying d…