ArticleImaging neuroscience (Cambridge, Mass.)2024
The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Can digital brain twins dissolve the uncertainties surrounding unresponsive wakefulness?BMC medical ethics · 2026Article
- Virtual prototyping of non-invasive spinal cord electrical stimulation targeting upper limb motor function.bioRxiv : the preprint server for biology · 2026Article
- Characterization of Children with Intellectual Disabilities and Relevance of MushroomNutrients · 2026Article
- Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science.Frontiers in psychology · 2026Article
- AI-enabled multimodal neuroimaging for neurotransmitter mapping in normal aging and age-related disease.Frontiers in aging neuroscience · 2026Review
- AI-driven insights into protein misfolding and innate immunity in neurodegenerative diseases.Frontiers in immunology · 2026Review
- Grand challenges for systems neuroscience: perspectives and opportunities.Frontiers in systems neuroscience · 2026Article
- Building on models-a perspective for computational neuroscience.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Modeling neuron-astrocyte interactions in neural networks using distributed simulation.PLoS computational biology · 2025Article
- Effective workflow from multimodal MRI data to model-based prediction.Scientific reports · 2025Article
- A large annotated dataset of vocalizations by common marmosets.Scientific data · 2025Article
- A computational approach to evaluate how molecular mechanisms impact large-scale brain activity.Nature computational science · 2025Article
- Entropy and Complexity Tools Across Scales in Neuroscience: A Review.Entropy (Basel, Switzerland) · 2025Review
- FAIR African brain data: challenges and opportunities.Frontiers in neuroinformatics · 2025Article
- Translational network neuroscience: Nine roadblocks and possible solutions.Network neuroscience (Cambridge, Mass.) · 2025Article
- From data to decision: Scaling artificial intelligence with informatics for epilepsy management.Clinical and translational medicine · 2024Article
- Digital tools of analysis and data integration facilitate synergy between mouse and human brain research and enable translation.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Brain state identification and neuromodulation to promote recovery of consciousness.Brain communications · 2024Review
- Article
Corrections and comments
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Authors and funding
106 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales-from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe's Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade's pressing medical and technological challenges. The aims of this paper are to: develop a concept for the coming decade of digital brain research, discuss this new concept with the research community at large, identify points of convergence, and derive therefrom scientific common goals; provide a scientific framework for the current and future development of EBRAINS, a research infrastructure resulting from the HBP's work; inform and engage stakeholders, funding organisations and research institutions regarding future digital brain research; identify and address the transformational potential of comprehensive brain models for artificial intelligence, including machine learning and deep learning; outline a collaborative approach that integrates reflection, dialogues, and societal engagement on ethical and societal opportunities and challenges as part of future neuroscience research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.