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cond-mat.dis-nn2023★ 14 cited
Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings
Wenxuan Zou, Haiping Huang
Dynamical mean-field theory is a powerful physics tool used to analyze the typical behavior of neural networks, where neurons can be recurrently connected, or multiple layers of ne…
cond-mat.dis-nn2021★ 6 cited
Ensemble perspective for understanding temporal credit assignment
Wenxuan Zou, Chan Li, Haiping Huang
Recurrent neural networks are widely used for modeling spatio-temporal sequences in both nature language processing and neural population dynamics. However, understanding the tempo…