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An Agent Model Using Polychronous Networks

Júlio MonteiroPhilippe CaillouMarcio Lobo Netto

In this paper, we present an agent model based on computation with polychronous groups on spiked neural networks, that is able to learn to return to known initial situations, without any guidance.

http://www.lbd.dcc.ufmg.br/colecoes/colibri/2009/028.pdf

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