EBRAINS 2.0

EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health

Grant period2024-01-01 - 2026-12-31
Funding bodyEuropean Union
Call numberHORIZON-INFRA-2022-SERV-B-01
Grant number101147319
IdentifierG:(EU-Grant)101147319

Note: EBRAINS is a collaborative European Research Infrastructure designed to advance and accelerate progress in neuroscience and brain health. This innovative infrastructure, a legacy of the Human Brain Project (HBP), is an ecosystem where researchers, clinicians and experts from various disciplines converge to explore and analyze brain complexity – from molecular and cellular levels to the functioning of the entire organ. Therefore, the project aims to create a new standard for brain atlases from the micro- to the macro-scale, link foundational multi-level data and connectomes in the healthy and pathological brain with atlases and models, create digital twins through modelling and simulation as well as unique, excellent, and preferred services for FAIR neuroscience data. The overarching goal of EBRAINS 2.0 is to foster a deeper understanding of brain structure and function with dedicated and mature software tools, to facilitate the development of more effective treatments, new drugs, diagnostics and preventive measures for neuro-psychiatric disorders. We expect that EBRAINS 2.0 catalyzes progress in the field of large-scale models running on HPC towards Exascale and leads to innovative solutions for neuro-inspired computing, and cognitive technologies such as neurorobotics and AI. Sophisticated digital modeling and data analytics capabilities will benefit communities beyond neuroscience, such as biomedicine. We will advance EBRAINS technology, platform services and the base infrastructure roadmap, educate and train a new community of users and developers from academia, industry and SMEs, and ensure knowledge transfer. EBRAINS 2.0 will become the neuroscience hub in the European infrastructure landscape, through building strong links with the European data spaces, EOSC and EuroHPC JU, centers of excellences and other initiatives. Globally, EBRAINS 2.0 will make a strong contribution to the new era of digital neuroscience and foster European leadership in this field.
   

Recent Publications

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;  ;  ;
Associations of brain structure with psychopathy
European archives of psychiatry and clinical neuroscience 276(1), 63-75 () [10.1007/s00406-025-02028-6] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Software  ;  ;  ;
Code and data for Lober et al. (2026), Learning sequence timing and control of replay speed in networks of spiking neurons
[10.5281/ZENODO.20290700]   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;
Learning sequence timing and control of replay speed in networks of spiking neurons
arXiv 2605.22523 [q-bio.NC] () [10.48550/arXiv.2605.22523]  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Software  ;  ;  ;
NESTML (8.3.0)
BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster (After Call)  ;  ;  ;  ;  ;  ;
Modeling and simulating two-compartment neuron model with NESTML on NEST GPU
NEST Conference 2026, OnlineOnline, Germany, 16 Jun 2026 - 17 Jun 20262026-06-162026-06-17 BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster (After Call)  ;  ;
Segmentation of the intracranial cavity in T1-weighted MR images of the human head by a location-specific 3D U-Net
Helmholtz AI Conference 2026, HAICON26, MünchenMünchen, Germany, 8 Jun 2026 - 11 Jun 20262026-06-082026-06-11   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Conference Presentation (After Call)  ;  ;
Contour Proposal Networks with Deep Refinement for Dense High-Throughput Instance Segmentation
Helmholtz AI Conference 2026, HAICON26, MünchenMünchen, Germany, 8 Jun 2026 - 11 Jun 20262026-06-082026-06-11   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster (After Call)  ;  ;  ;  ;
From Learned Representation To Localization: Towards Semantic Integration Of Microscopic Data In The Human Brain
Helmholtz AI Conference 2026, HAICON26, MünchenMünchen, Germany, 8 Jun 2026 - 11 Jun 20262026-06-082026-06-11   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster (After Call)  ;  ;  ;
Cytoarchitecture in Words: Weakly Supervised Vision–Language Modeling for Human Brain Microscopy
Helmholtz AI Conference 2026, HAICON26, MünchenMünchen, Germany, 8 Jun 2026 - 11 Jun 20262026-06-082026-06-11   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster (After Call)  ;  ;  ;
muBRAND: Multi-Branch Diffusion for Flexible Generation and Inpainting of Image Series
Helmholtz AI Conference 2026, HAICON26, MünchenMünchen, Germany, 8 Jun 2026 - 11 Jun 20262026-06-082026-06-11   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 


 Datensatz erzeugt am 2024-01-22, letzte Änderung am 2024-01-22



Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)