Implementing digital services to empower neuroscience research for health and brain inspired technology via EBRAINS

Expected Outcome:A state-of-the-art EBRAINS digital infrastructure for brain research, providing data, digital tools and services to the European research communities in neurosciences, brain medicine, and brain-inspired technologies. The platform will be powered by AI and will integrate innovative AI tools to support intuitive interaction with users, facilitate brain research, data analysis, simulations and modelling of the brain, and support FAIR data indexing and archival to scale-up data integration and curation.New services and applications for neuroscience, brain health and cognitive technologies, aligned with national and European research priorities. Workflows that connect and integrate large sets of data, services and tools available at EBRAINS will be in the focus in combination with access to large storage and compute resources.Innovative brain-inspired AI tools, that are based on insights from brain research, for example, in learning, decision process, plasticity, with application in research, robotics, and neurotech.Detailed, data-driven, multi-scale models of complex behaviour, intelligence, consciousness and language, to study the role of variability in human brain organization during the lifespan, under different conditions.Digital brain twins and/or body twins, informed by real-life sensor data, to assist the development of new digital tools for brain medicine, e.g., for diagnostics, rehabilitation, intensive care and surgery.A framework for the European Brain Data Space, aligned with the European Health Data Space, in connection to EOSC and linked with common European data spaces in the life science and health sector, to support collaborative digital neuroscience and reproducible brain science, and to bridge basic and clinical research in the context of the European partnership for brain health.Strengthened European cooperation advancing brain health research to ensure streamlined efforts, avoiding duplication while maximizing impact particularly in