An overview of reservoir computing: theory, applications and implementations

https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2007-8.pdf

This tutorial will give an overview of current research on theory, application and implementations of Reservoir Computing.

Frontiers | MACOP modular architecture with control primitives | Frontiers in Computational Neuroscience

http://journal.frontiersin.org/article/10.3389/fncom.2013.00099/full

2.4.2. Echo state networks
We use an Echo State Network (ESN) (Jaeger, 2001) as inverse model. An ESN is composed of a discrete-time recurrent neural network [commonly called the reservoir because ESNs belong to the class of Reservoir Computing techniques (Schrauwen et al., 2007)] and a linear readout layer which maps the state of the reservoir to the desired output.

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http://journal.frontiersin.org/article/10.3389/fncom.2013.00099/pdf