Related references
Note: Only part of the references are listed.Temporal data classification and forecasting using a memristor-based reservoir computing system
John Moon et al.
NATURE ELECTRONICS (2019)
Neuromorphic computation in multi-delay coupled models
P. Nieters et al.
IBM JOURNAL OF RESEARCH AND DEVELOPMENT (2017)
Reservoir Computing with an Ensemble of Time-Delay Reservoirs
Silvia Ortin et al.
COGNITIVE COMPUTATION (2017)
High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification
Laurent Larger et al.
PHYSICAL REVIEW X (2017)
Advances in photonic reservoir computing
Guy Van der Sande et al.
NANOPHOTONICS (2017)
A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron
S. Ortin et al.
SCIENTIFIC REPORTS (2015)
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
Miguel C. Soriano et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)
High-performance photonic reservoir computer based on a coherently driven passive cavity
Quentin Vinckier et al.
OPTICA (2015)
Parallel photonic information processing at gigabyte per second data rates using transient states
Daniel Brunner et al.
NATURE COMMUNICATIONS (2013)
Optoelectronic reservoir computing: tackling noise-induced performance degradation
M. C. Soriano et al.
OPTICS EXPRESS (2013)
Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics
Romain Martinenghi et al.
PHYSICAL REVIEW LETTERS (2012)
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
L. Larger et al.
OPTICS EXPRESS (2012)
Optoelectronic Reservoir Computing
Y. Paquot et al.
SCIENTIFIC REPORTS (2012)
Information Processing Capacity of Dynamical Systems
Joni Dambre et al.
SCIENTIFIC REPORTS (2012)
Minimum Complexity Echo State Network
Ali Rodan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
Information processing using a single dynamical node as complex system
L. Appeltant et al.
NATURE COMMUNICATIONS (2011)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)
Share Paper
