149 citations · 519 across the 10 of their papers we have counts for
10 papers
Creating New Chaotic Signals with Reservoir Computers
Thomas L. Carroll
While there have been many publications on potential applications of chaos to fields such as communications, radar, sonar, random signal generation, channel equalization and others…
Time Shifts to Reduce the Size of Reservoir Computers
Thomas L. Carroll, Joseph D. Hart
A reservoir computer is a type of dynamical system arranged to do computation. Typically, a reservoir computer is constructed by connecting a large number of nonlinear nodes in a n…
Optimizing Memory in Reservoir Computers
Thomas L. Carroll
A reservoir computer is a way of using a high dimensional dynamical system for computation. One way to construct a reservoir computer is by connecting a set of nonlinear nodes into…
Do Reservoir Computers Work Best at the Edge of Chaos?
Thomas L. Carroll
It has been demonstrated that cellular automata had the highest computational capacity at the edge of chaos, the parameter at which their behavior transitioned from ordered to chao…
Adding Filters to Improve Reservoir Computer Performance
Thomas L. Carroll
Reservoir computers are a type of neuromorphic computer that may be built a an analog system, potentially creating powerful computers that are small, light and consume little power…
Dimension of Reservoir Computers
Thomas L. Carroll
A reservoir computer is a complex dynamical system, often created by coupling nonlinear nodes in a network. The nodes are all driven by a common driving signal. In this work, three…
Mutual Information and the Edge of Chaos in Reservoir Computers
Thomas L. Carroll
A reservoir computer is a dynamical system that may be used to perform computations. A reservoir computer usually consists of a set of nonlinear nodes coupled together in a network…
Network Structure Effects in Reservoir Computers
Thomas L. Carroll, Louis M. Pecora
A reservoir computer is a complex nonlinear dynamical system that has been shown to be useful for solving certain problems, such as prediction of chaotic signals, speech recognitio…
Using reservoir computers to distinguish chaotic signals
Thomas L. Carroll
Several recent papers have shown that reservoir computers are useful for analyzing and predicting dynamical systems. Reservoir computers have also been shown to be useful for vario…
A Unified Approach to Attractor Reconstruction
Louis M. Pecora, Linda Moniz, Jonathan Nichols +1
In the analysis of complex, nonlinear time series, scientists in a variety of disciplines have relied on a time delayed embedding of their data, i.e. attractor reconstruction. The…