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Historique: Reservoir Computing

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<h3 id="Participants" class="showhide_heading">Participants</h3>
<p>Nicolas Bredèche, Fei Jiang, Cédric Hartland. Hélène Paugam-Moisy, Marc Schoenauer, Michèle Sebag&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; INRIA-Alchemy Hugues Berry, LIMSI Philippe Tarroux, Jean-Sylvain Liénard, Mathieu Dubois, Sylvain Chevallier</p>
<h3 id="Research_Themes" class="showhide_heading">Research Themes</h3>
<p>Reservoir Computing is a generic name that appeared at the end of 2006, gathering new paradigms for computing large recurrent neural networks with random connectivity, such as:</p>
<ul>
<li>Echo State Networks (ESN) Jaeger, 2001</li>
<li>Liquid State Machines (LSM) Maass, Natschlager, Markram, 2002</li>
<li>Back-Propagation DeCorrelation (BPDC) Steil, 2004</li>
</ul>

Historique

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