Communication Dans Un Congrès Année : 2006

A regularization process to implement self-organizing neuronal networks

Résumé

Kohonen Self-Organizing maps are interesting computational structures because of their original properties, including adaptive topology and competition, their biological plausibility and their successful applications to a variety of real-world applications. In this paper, this neuronal model is presented, together with its possible implementation with a variational approach. We then explain why, beyond the interest for understanding the visual cortex, this approach is also interesting for making easier and more efficient the choice of this neuronal technique for real-world applications.

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inria-00103256 , version 1 (03-10-2006)

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  • HAL Id : inria-00103256 , version 1

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Frédéric Alexandre, Nicolas P. Rougier, Thierry Viéville. A regularization process to implement self-organizing neuronal networks. International Conference on Engineering and Mathematics - ENMA 2006, Jul 2006, Bilbao/Spain. ⟨inria-00103256⟩
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