Human Brain Project – SGA2


Funded by: European Commission  
Calls: Future and Emerging Technologies Flagship
Start date: 2018-04-01  End date: 2020-03-31
Total Budget: EUR 88.000.000,00  INO share of the total budget: EUR 382.500,00
Scientific manager: Andreas MORTENSEN   and for INO is: Sacconi Leonardo

Web Site: Visit

Organization/Institution/Company main assignee: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

other Organization/Institution/Company involved:

other INO’s people involved:
Costantini Irene
Costantini Irene
Silvestri Ludovico

Abstract: Understanding the human brain is one of the greatest scientific challenges of our time. Such an understanding can provide profound insights into our humanity, leading to fundamentally new computing technologies, and transforming the diagnosis and treatment of brain disorders. Modern ICT brings this prospect within reach. The HBP Flagship Initiative (HBP) thus proposes a unique strategy that uses ICT to integrate neuroscience data from around the world, to develop a unified multi-level understanding of the brain and diseases, and ultimately to emulate its computational capabilities. The goal is to catalyse a global collaborative effort. During the HBP’s first Specific Grant Agreement (SGA1), the HBP Core Project will outline the basis for building and operating a tightly integrated Research Infrastructure, providing HBP researchers and the scientific Community with unique resources and capabilities. Partnering Projects will enable independent research groups to expand the capabilities of the HBP Platforms, in order to use them to address otherwise intractable problems in neuroscience, computing and medicine in the future.

INO’s Experiments/Theoretical Study correlated:
Morphofunctional imaging of human and mouse brain

The Scientific Results:
1) High-fidelity imaging in brain-wide structural studies using light-sheet microscopy
2) Towards a full volumetric atlas of cell-specific neuronal spatial organization in the entire mouse brain
3) Software tools for efficient processing of high-resolution 3D images of macroscopic brain samples