Skip to Main content Skip to Navigation
Conference papers

Application-driven parameter tuning methodology for dynamic neural field equations

Lucian Alecu 1, 2 Hervé Frezza-Buet 1
2 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, a method is introduced in order to qualify the performance of dynamic neural fields (DNF). The method is applied to Amari's DNF equations, in order to drive the tuning of its free parameters. An original evaluation procedure is presented, and then applied to some input evolution scenarios. Such scenarios define an applicative context, for which the parameters with the lowest evaluation are optimal.
Document type :
Conference papers
Complete list of metadata
Contributor : Sébastien van Luchene Connect in order to contact the contributor
Submitted on : Monday, December 7, 2009 - 12:26:38 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

Links full text




Lucian Alecu, Hervé Frezza-Buet. Application-driven parameter tuning methodology for dynamic neural field equations. 16th International Conference on Neural Information Processing - ICONIP 2009, Dec 2009, Bangkok, Thailand. pp.135-142, ⟨10.1007/978-3-642-10677-4_15⟩. ⟨hal-00439332⟩



Les métriques sont temporairement indisponibles