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Journal articles

Self-Organizing Machine Architecture

Bernard Girau 1 Benoit Miramond 2 Nicolas Rougier 3, * Andres Upegui 4
* Corresponding author
1 BISCUIT - Bio-Inspired, Situated and Cellular Unconventional Information Technologies
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
3 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : SOMA is a France-Switzerland collaborative project which aims to develop a computing machine with self-organizing properties inspired by the functioning of the brain. The SOMA project addresses this challenge by lying at the intersection of four main research fields, namely adaptive reconfigurable computing, cellular computing, computational neuroscience, and neuromorphic engineering. In the framework of SOMA, we designed the SCALP platform, a 3D array of FPGAs and processors permitting to prototype and evaluate self-organization mechanisms on physical cellular machines.
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Contributor : Nicolas P. Rougier Connect in order to contact the contributor
Submitted on : Wednesday, March 31, 2021 - 10:41:51 AM
Last modification on : Monday, May 2, 2022 - 3:03:27 PM
Long-term archiving on: : Thursday, July 1, 2021 - 6:15:20 PM


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  • HAL Id : hal-03186497, version 1


Bernard Girau, Benoit Miramond, Nicolas Rougier, Andres Upegui. Self-Organizing Machine Architecture. ERCIM News, ERCIM, 2021, 125, pp.4. ⟨hal-03186497⟩



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