Fallani Lab

Research focus

ERC Consolidator Grant · 2019

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

Human-computer interfaces are increasingly explored to facilitate interaction with the external world. Brain-computer interfaces (BCIs), bypassing the skeletomuscular system, are particularly promising for assisting paralyzed people in control and communication, but also for boosting neuromotor rehabilitation. Despite their potential, the societal impact of BCIs is dramatically limited by the poor usability in real-life applications. While many solutions have been proposed - from the identification of the best classification algorithm to the type of sensory feedback - the accuracy is still highly variable across subjects and BCIs cannot be used by everyone. Critically, these approaches have…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.