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…