3 papers
cs.NE2015
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger +1
This paper addresses the reservoir design problem in the context of delay-based reservoir computers for multidimensional input signals, parallel architectures, and real-time multit…
cs.ET2015
Quantitative evaluation of the performance of discrete-time reservoir computers in the forecasting, filtering, and reconstruction of stochastic stationary signals
Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
This paper extends the notion of information processing capacity for non-independent input signals in the context of reservoir computing (RC). The presence of input autocorrelation…
math.DS2014
Optimal nonlinear information processing capacity in delay-based reservoir computers
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger +1
Reservoir computing is a recently introduced brain-inspired machine learning paradigm capable of excellent performances in the processing of empirical data. We focus in a particula…