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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

2024 OHBM Annual Meeting
date: May 15, 2024
Join us at booth 203 from June 23 - June 27, 2024 at the COEX Convention and Exhibition Center for the 2024 OHBM Annual Meeting in Seoul, Korea.
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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!
Go To Linkedin
BigBrain Workshop 2024
date: Mar 20, 2024
You are cordially invited to attend the 8th BigBrain Workshop, taking place in the beautiful city of Padua, Italy. The conference will be on 10-11 September, preceded by a training day on 9 September.
Go To Event Page
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.
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7th BigBrain Workshop 2023 - Videos
date: Jan 04, 2024
The videos from all three days of the 7th BigBrain Workshop are now available.
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Katrin Amunts receives Justine and Yves Sergent International Award
date: Dec 11, 2023
Katrin Amunts has been honoured with the 2023 Justine and Yves Sergent International Award, which is granted to outstanding female researchers for contributions in the field of cognitive neuroscience and brain imaging who have achieved a high international reputation
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About the BigBrain

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.