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On practical neural field parameters adjustment

Frédéric Alexandre 1, * Jérémy Fix 1 Axel Hutt 1 Nicolas P. Rougier 1 Thierry Viéville 1 
* Corresponding author
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Revisiting CNFT calculation maps in both the discrete and continuous temporal cases, we propose a set of results allowing to choose the right set of parameters in order to both (i) guaranty the stability of the calculation and (ii) tune the shape of the output's map. With such parameters it appears that large sampling steps can be used, speeding up overall calculation. Furthermore, we report experimenting the fact that rectification is the only required non-linearity and formalize the use of this simplified but efficient mechanism. The outcome is shared as an open-source plug-in module to be used in existing simulation software.
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Submitted on : Friday, October 17, 2008 - 10:40:13 AM
Last modification on : Friday, February 4, 2022 - 3:17:04 AM
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  • HAL Id : hal-00331571, version 1


Frédéric Alexandre, Jérémy Fix, Axel Hutt, Nicolas P. Rougier, Thierry Viéville. On practical neural field parameters adjustment. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331571⟩



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