DANA, Distributed (Asynchronous) Numerical & Adaptive computing framework

Nicolas P. Rougier 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : DANA (Distributed (asynchronous) Numerical and Adaptive computing) is a python computing framework based on numpy and scipy libraries whose primary goals relate to computational neuroscience and artificial neural networks. However, this framework can be used in several different areas like physic simulations, cellular automata or image processing. The computational paradigm supporting the DANA framework is grounded on the notion of a unit that is a set of arbitrary values that can vary along time under the influence of other units and learning. Each unit can be linked to any other unit (including itself) using a weighted link and a group is a structured set of such homogeneous units. The DANA framework offers a set of core objects to design and run such models with the possibilty to specify model equations (differentials or regular) links, link equations and to run them iteratively. More information at: http://dana.loria.fr
Type de document :
Communication dans un congrès
3rd European meeting on Python in Science - EuroScipy 2010, Jul 2010, Paris, France. 2010
Liste complète des métadonnées

https://hal.inria.fr/inria-00536385
Contributeur : Nicolas P. Rougier <>
Soumis le : mardi 16 novembre 2010 - 10:20:58
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

Identifiants

  • HAL Id : inria-00536385, version 1

Collections

Citation

Nicolas P. Rougier. DANA, Distributed (Asynchronous) Numerical & Adaptive computing framework. 3rd European meeting on Python in Science - EuroScipy 2010, Jul 2010, Paris, France. 2010. 〈inria-00536385〉

Partager

Métriques

Consultations de la notice

163