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Understanding learning variability to personalise training and boost knowledge-driven, efficient and acceptable neurotechnologies

Objective

Boosted by recBoosted by recent advances in neuroscience, AI and wearable sensors, neurotechnologies, and in particular brain–computer interfaces (BCIs), are increasingly presented as near-future solutions to restore, replace or even enhance movement, communication and cognition. They are envisioned, for example, to support motor rehabilitation after stroke, enable control of assistive technologies, or offer new forms of cognitive enhancement and interaction in virtual environments. Yet, in reality, BCIs remain insufficiently usable and reliable to be adopted in everyday life. Their performance is inconsistent and highly dependent on the individual user, creating a risk of disillusionment, funding loss and stalled innovation if expectations are not met. VARIABILITI addresses this challenge by training 14 DCs with R-COP (responsible, collaborative, open and participatory) principles, placing end-users at the core of the research and innovation (R&I) loop. By moving from a technology-centred to a human-centred approach, VARIABILITI’s overarching ambition is to make BCIs truly usable, acceptable and efficient. The international, interdisciplinary and intersectoral consortium (12 beneficiaries, 18 associated partners including clinicians, SMEs/industrials, and European networks) tackles this through four interconnected objectives: Initiate a paradigm shift toward sustainable, user-centred and responsible R&I in BCI; Model human learning and its variability to enable co-adaptive, personalised BCIs; Design & validate novel BCI protocols and algorithms to enhance the double learning process; Demonstrate the relevance and applicability of the VARIABILITI approach in both clinical and non-clinical real-world contexts. By providing open datasets, models, protocols and prototypes, the network will benefit BCI developers, end-users and decision-makers, strengthen Europe’s innovation capacity and support the emergence of responsible, inclusive and high-impact neurotechnologies.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN-JD - HORIZON TMA MSCA Doctoral Networks - Joint Doctorates

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-DN-01

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Coordinator

UNIVERSITE DE BORDEAUX
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 314 669,16
Address
PLACE PEY BERLAND 35
33000 Bordeaux
France

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Region
Nouvelle-Aquitaine Aquitaine Gironde
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (11)

Partners (17)