Reservoir computing

Reservoir computing is a framework for computation that may be viewed as an extension of neural networks.Typically an input signal is fed into a… (More)
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Highly Cited
2012
Highly Cited
2012
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The… (More)
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Highly Cited
2012
Highly Cited
2012
Reservoir Computing (RC) is a paradigm of understanding and training Recurrent Neural Networks (RNNs) based on treating the… (More)
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2012
2012
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system to carry out information… (More)
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2012
2012
As feature-size scaling and "Moore's Law" in integrated CMOS circuits further slows down, attention is shifting to computing by… (More)
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2011
2011
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasingly popular in recent years… (More)
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Highly Cited
2010
Highly Cited
2010
Reservoir computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless… (More)
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2009
2009
This paper introduces reservoir computing for static pattern recognition. Reservoir computing networks are neural networks with a… (More)
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Highly Cited
2008
Highly Cited
2008
We propose a multi-timescale learning rule for spiking neuron networks, in the line of the recently emerging field of reservoir… (More)
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Review
2007
Review
2007
Three different uses of a recurrent neural network (RNN) as a reservoir that is not trained but instead read out by a simple… (More)
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2005
2005
Reservoir Computing (RC) [6], [5], [9] is a computational framework with powerful properties and several interesting advantages… (More)
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