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Conference papers

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:
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Submitted on : Tuesday, November 16, 2010 - 10:20:58 AM
Last modification on : Friday, February 4, 2022 - 3:16:19 AM


  • HAL Id : inria-00536385, version 1



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



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