<ul><li>Reservoir Computing emerges as a solution to the difficulties faced by Recurrent Neural Networks (RNNs).</li><li>Reservoir Computing has been successfully applied in various fields including natural language processing, computational biology, neuroscience, robotics, and physics.</li><li>This survey explores the history and appeal of traditional feed-forward and recurrent neural networks, along with the theory and models of the reservoir computing paradigm.</li><li>Recent papers utilizing reservoir computing in different scientific fields are reviewed in this survey.</li></ul>

Reservoir Computing: A New Paradigm for Neural Networks

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