3 papers
cond-mat.dis-nn2026
Linear equivalence of nonlinear recurrent neural networks
David G. Clark
Large nonlinear recurrent neural networks with random couplings generate rich, potentially chaotic activity and are of interest in neuroscience and other fields. A key object encod…
q-bio.NC2025
Connectivity structure and dynamics of nonlinear recurrent neural networks
David G. Clark, Owen Marschall, Alexander van Meegen +1
Studies of the dynamics of nonlinear recurrent neural networks often assume independent and identically distributed couplings, but large-scale connectomics data indicate that biolo…
q-bio.NC2025
Structure of activity in multiregion recurrent neural networks
David G. Clark, Manuel Beiran
Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibili…