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Optimal nonlinear information processing capacity in delay-based reservoir computers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Memory and Nonlinear Mapping in Reservoir Computing with Two Uncoupled Nonlinear Delay Nodes
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Stability Analysis and Robust Control of Time-Delay Systems
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Multiple-valued stationary state and its instability of the transmitted light by a ring cavity system
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Reservoir computing approaches to recurrent neural network training
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Extreme learning machine: Theory and applications
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Nonlinear transient computation
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An experimental unification of reservoir computing methods
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Memory in linear recurrent neural networks in continuous time
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Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality
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Information processing using a single dynamical node as complex system
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Parallel photonic information processing at gigabyte per second data rates using transient states
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Why future supercomputing requires optics
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Information Processing Capacity of Dynamical Systems
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Introduction to Focus Issue: Intrinsic and Designed Computation: Information Processing in Dynamical Systems—Beyond the Digital Hegemony
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Memory traces in dynamical systems
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Analytic Theory of Polynomials
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Computational capabilities of random automata networks for reservoir computing
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Short-Term Memory in Orthogonal Neural Networks
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New results on recurrent network training: unifying the algorithms and accelerating convergence
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Fading memory and the problem of approximating nonlinear operators with Volterra series
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Minimum Complexity Echo State Network
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Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
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Oscillation and Chaos in Physiological Control Systems
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Liquid State Machines: Motivation, Theory, and Applications
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Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
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Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
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Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Recent Advances in Reservoir Computing With A Focus on Electronic Reservoirs
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Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation
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Master Memory Function for Delay-Based Reservoir Computers With Single-Variable Dynamics
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Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals
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Quantitative evaluation of the performance of discrete-time reservoir computers in the forecasting, filtering, and reconstruction of stochastic stationary signals
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Optimizing input mask for maximum memory performance of time-delay reservoir subjected to state noise
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