Thesiss

This work investigates the use of an Echo State Network (ESN) to predict turbulent jet flow behavior. ESNs are a particular class of Recurrent Neural Networks (RNNs) that have been shown to model transient chaotic systems while avoiding some of the difficulties associated with t…

Identification and control of nonlinear dynamic systems are typically established on a case-by-case basis, since there are no general methods for, at least, a large class of such systems. Recurrent Neural networks (RNNs) have the potential to model nonlinear dynamic systems due …

The ability to express and learn temporal sequences is an essential part of neural learning and memory. Learned temporal sequences are expressed in multiple brain regions and as such there may be common design in the circuits that mediate it. This thesis proposes a substrate for…