Consistency in echo-state networks
Thomas Lymburn, Alexander Khor, Thomas Stemler, Débora C. Corrêa, Michael Small, Thomas Jüngling · Chaos An Interdisciplinary Journal of Nonlinear Science · 2019
Consistency is an extension to generalized synchronization which quantifies the degree of functional dependency of a driven nonlinear system to its input. We apply this concept to echo-state networks, which are an artificial-neural network version of reservoir computing. Through a replica test, we measure the consistency levels of the high-dimensional response, yielding a comprehensive portrait of the echo-state property.