Imagine having a high-definition Google Maps for the human brain that shows not just the roads, but how every single wire and switch works. This project builds a digital library of brain maps and simulations that doctors and engineers can use to test treatments virtually. It is like having a flight simulator for the brain to predict how a drug will work before giving it to a patient.
Developing neurological drugs and AI is slowed by a lack of standardized, high-resolution brain maps and the inability to simulate brain reactions digitally.
A digital research infrastructure featuring multi-level brain atlases, digital twin simulation tools, and neuromorphic computing services.
If you are a drug discovery firm dealing with high failure rates in neurological clinical trials — this project developed digital twins and brain modeling that allow for virtual testing of treatments. This reduces risk by predicting how psychiatric conditions respond to new compounds.
If you are a neuro-prosthetics manufacturer dealing with imprecise brain-machine interfaces — this project developed multi-level brain atlases and connectomes. This provides the precise anatomical mapping needed to improve the accuracy of implanted devices.
If you are an AI chip designer dealing with the energy inefficiency of standard computing — this project developed neuromorphic computing and neurorobotics tools. This allows you to build hardware that mimics the brain's natural efficiency.
Based on available project data, the infrastructure provides open digital tools and services, but specific commercial pricing tiers are not listed.
Yes, the project specifically targets large-scale models running on HPC towards Exascale computing to handle massive datasets.
The project emphasizes FAIR data principles (Findable, Accessible, Interoperable, Reusable), suggesting an open-access approach for research data.
It provides a single portal to integrate disparate data and methodologies, including clinical data integration and neuroimaging standards.
The project period runs from 2024-01-01 to 2026-12-31, with services evolving throughout this window.
The consortium is heavily academic, with 38 universities and 18 research institutes, indicating a strong foundation in basic science. However, the inclusion of 3 industry partners and 3 SMEs across 16 countries shows a targeted effort to bridge the gap between lab research and commercial application in the neuro-tech sector.
Contact EBRAINS in Belgium for infrastructure access
Contact us to identify the specific SME partners in the consortium for licensing discussions.
