Creating the next generation of highly detailed human brain models by building on the BigBrain - the first openly accessible, microscopic resolution 3D model of the human brain.

News About the BigBrain

Alan Evans named Fellow of the Royal Society

date: Oct 08, 2024

Alan Evans, PhD, was among the 85 new Fellows of the Royal Society, the United Kingdom’s national academy of sciences, announced May 14, 2024. Candidates were nominated for their substantial contribution to the improvement of natural knowledge.

BigBrain Workshop 2024

date: Mar 20, 2024

The 8th BigBrain Workshop took place in the beautiful city of Padua, Italy. The conference was on 10-11 September, preceded by a training day on 9 September. Click below to see the full conference videos.

2024 OHBM Annual Meeting

date: July 09, 2024

The HIBALL Team presented the BigBrain data and tools at the annual OHBM meeting in Seoul, South Korea on June 23-27, 2024. It was fun to meet the community and discuss multimodal, high-resolution neuroscientific data and tools.

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The Julich-Brain Atlas at EBRAINS

date: May 14, 2024

The Julich-Brain Atlas at EBRAINS
Introduction, Concepts and Hands-on Sessions
17 - 20 June 2024
Online

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Capturing patterns of cortical hierarchy

date: Apr 21, 2024

Yezhou Wang is visiting Sofie Valk's lab in Leipzig for a three-month mitacs research stay to work on 'Capturing patterns of cortical hierarchy and dual stream architecture based on precise 7T MRI'

Cognitive Neurogenetics Lab

BigBrain Project on Linkedin

date: Apr 17, 2024

The BigBrain Project is now acive on Linkedin. Please visit our profile and add us!

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HIBALL Winter School 2024 Videos

date: Mar 20, 2024

We are happy to announce that the HIBALL Winter School 2024 videos are ready for viewing.

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EBRAINS research infrastructure secures €38 million in funding for new phase of digital neuroscience

date: Jan 9, 2024

The European Commission has accepted the EBRAINS 2.0 proposal submitted in response to the INFRASERV call, granting €38 million for the further development of services of the EBRAINS research infrastructure.

7th BigBrain Workshop 2023 - Videos

date: Jan 04, 2024

The videos from all three days of the 7th BigBrain Workshop are now available.

Full dataset over 1TB

Scans at 20μm resolution

Multiple formats

An expanding brain atlas

A thriving community

What People Say About the BigBrain

Why create the BigBrain

A message from Dr. Zilles

the major advantage of the BigBrain for our work is that the image data of the human brain are registered as a 3D volume at very high spatial resolution. Since the human brain is folded, any part of the cortical ribbon may be subjected to the geometrical effects of this folding, i.e. the cortex is obliquely or even tangentially sectioned at various sites in a 2D representation, e.g. in images of single microtome sections. This effect hampers the measurement of any cortical structure which is bound to the 3D columnar architecture of the cortex. In contrast, the BigBrain allows analyses in 3D, and thus has opened the door to many studies which would not be possible in 2D representations.

Martha Crago

Vice-Principal (Research + Innovation) McGill University

With HIBALL the partnership between two world-leading research institutions in computational neuroscience will provide an important platform for the scientists to conduct innovative, interdisciplinary, and complementary research in a rich and collaborative setting.

Yoshua Bengio

Mila Scientific Director, Quebec Artificial Intelligence Institute

HIBALL assembles a team with world-leading expertise in neuroimaging, artificial intelligence, neuroscience and neuroinformatics, which complements well the team at Mila. The active participation of several PIs with ties to Mila is very exciting, and we anticipate this lab will further expand the collaboration between neuroscience and AI experts in the Montreal ecosystem, leading to cutting-edge discoveries in both fields.

Viktor Jirsa

Directeur de Recherche, CNRS

HIBALL can build on a remarkable expertise and international reputation and will lead to high impact contributions in Human Brain Atlasing, Neuroinformatics, and Machine Learning.