On the control of recurrent neural networks using constant inputs

Cyprien Tamekue, Ruiqi Chen, ShiNung Ching

This paper investigates the controllability of a broad class of recurrent neural networks widely used in theoretical neuroscience, including models of large-scale human brain dynam…