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Non-invasive decoding of brain communication patterns to ease motor restoration after stroke

Project description

Towards advanced brain–computer interfaces

Brain–computer interfaces (BCIs) can bypass the skeletomuscular system, assisting paralysed people in control and communication. However, despite their application in neuromotor rehabilitation, the accuracy of sensory feedback is still highly variable, limiting their use in everyday life. Scientists of the EU-funded BCINET project propose to address this issue through a novel generation of BCIs that do not solely rely on data from selected brain regions but integrate the user’s brain network information. Using a combination of neuroimaging and experimental methods within a modern computational framework, they will study brain dynamics to improve BCI architecture and accuracy. Apart from refining BCIs, the project has the potential to unveil solutions for motor restoration after stroke.

Call for proposal

ERC-2019-COG
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Host institution

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
France
Activity type
Research Organisations
EU contribution
€ 1 690 220

Beneficiaries (2)

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 1 690 220
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations
INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE
France
EU contribution
€ 309 500
Address
Boulevard De L'hopital 47
75013 Paris
Activity type
Research Organisations