Posts Tagged "RNN"

DMFT Method of Random Recurrent Neural Networks

This post introduces the dynamical mean field theory (DMFT) of random recurrent neural networks, proposed by H. Sompolinsky et al. in 1988. The DMFT provides a powerful framework to analyze the dynamics of large-scale random RNNs, which are widely used in neuroscience and machine learning.