ORGANIC
Self-organized recurrent neural learning for language processing
| Coordinatore | JACOBS UNIVERSITY BREMEN GGMBH
Organization address
address: Campus Ring 1 contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 3˙518˙400 € |
| EC contributo | 2˙700˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2007-3 |
| Funding Scheme | CP |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-04-01 - 2012-03-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
JACOBS UNIVERSITY BREMEN GGMBH
Organization address
address: Campus Ring 1 contact info |
DE (Bremen) | coordinator | 0.00 |
| 2 |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: Rue Michel -Ange contact info |
FR (PARIS) | participant | 0.00 |
| 3 |
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)
Organization address
address: 101 Rue de Tolbiac contact info |
FR (PARIS) | participant | 0.00 |
| 4 |
PLANET INTELLIGENT SYSTEMS GMBH
Organization address
address: Residence Park contact info |
DE (Raben Steinfeld) | participant | 0.00 |
| 5 |
TECHNISCHE UNIVERSITAET GRAZ
Organization address
address: Rechbauerstrasse contact info |
AT (GRAZ) | participant | 0.00 |
| 6 |
UNIVERSITEIT GENT
Organization address
address: Sint Pietersnieuwstraat contact info |
BE (GENT) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The human brain is an unrivalled 'engine' for speech processing and language understanding. It integrates a large variety of learning, adaptation, optimization and self-stabilization mechanisms across manyndynamically interacting levels of processing. The result of this highly entwined mesh of processes is supreme robustness, efficiency, and versatility. ORGANIC adopts principles of cortical architecturenand self-organizing neurodynamics for the design of a new type of cognitive architectures for speech/language tasks.nnThe neurodynamical models will be grounded in the paradigm of Reservoir Computing is a biologically inspired perspective on how arbitrary computations can be learnt and performed in artificial neural networks which are -- like their biological rolenmodels -- large, randomly grown, highly nonlinear and eminently adaptive.nnR\&D activities in Organic will result innn* a much deeper theoretical understanding of how very complex computations, especially those related to language processing, can be robustly and adaptively performed in neurodynamical systems,nn* a publicly available ``Engine' of programming tools which conforms to recent interface standards for parallel neural system simulations, together with a reference collection of large real-life benchmark datasets,nn* prototype implementations of large-vocabulary online speech recognizers and handwriting recognition solutions.nnThe consortium brings together the original pioneers in reservoir computing, leading researchers in cortical architectures for speech and language processing, speech recognition technology and annindustrial partner at the frontier of automated text recognition.