Skip to Main content Skip to Navigation
Journal articles

Self-Organizing Machine Architecture

Bernard Girau 1 Benoit Miramond 2 Nicolas P. Rougier 3, * Andres Upegui 4
* Corresponding author
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.
Complete list of metadata

https://hal.inria.fr/hal-03186497
Contributor : Nicolas P. Rougier <>
Submitted on : Wednesday, March 31, 2021 - 10:41:51 AM
Last modification on : Friday, April 9, 2021 - 3:12:34 AM

File

ERCIM-News-SOMA.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03186497, version 1

Citation

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

Share

Metrics

Record views

45

Files downloads

250