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Dynamic Formation of Self-Organizing Maps

Abstract : In this paper, an original dynamical system derived from dynamic neural fields is studied in the context of the formation of topographic maps. This dynamical system overcomes limitations of the original Self-Organizing Map (SOM) model of Kohonen. Both competition and learning are driven by dynamical systems and performed continuously in time. The equations governing competition are shown to be able to reconsider dynamically their decision through a mechanism rendering the current decision unstable, which allows to avoid the use of a global reset signal.
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Submitted on : Friday, May 7, 2021 - 5:50:21 PM
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Jérémy Fix. Dynamic Formation of Self-Organizing Maps. 10th International Workshop, WSOM, Jul 2014, Mittweida, Germany. pp.25-34, ⟨10.1007/978-3-319-07695-9_2⟩. ⟨hal-01060971⟩



Les métriques sont temporairement indisponibles