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.
Fields of science
Call for proposal
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