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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

Alan Evans awarded 2021 RSC McLaughlin Medal
date: Sept 17 2021
Congratulations! Alan Evans is the 2021 RSC McLaughlin Medal awardee for excellence and achievement in medical science for his significant contributions to the field of neuroimaging.
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5th BigBrain Workshop
date: Sept 21-23 2021
The program is set up: a keynote by Martijn van den Heuvel, five hands-on sessions, 15 talks, posters and demos. Please register by Sep 20.
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
date: Sept 2021
A novel method for automatic classification of cytoarchitectonic brain areas in large series of consecutive histological brain sections.
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date: Sept 2021
Julich-Brain – a 3D probabilistic atlas of human brain’s cytoarchitecture
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DL facilitates high-throughput cytoarchitectonic mapping in large series of histological brain sections
date: July 07 2021
New paper out: Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
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ESFRI announces EBRAINS as part of its Research Infrastructures to be included in its Roadmap 2021.
date: July 07 2021
€4.1 billion investment in excellent science contributing to address European challenges
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Featured Scholar: Konrad Wagstyl
date: June 22 2021
Video interview with Konrad Wagstyl
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Interview with Katrin Amunts: Dem Gehirn auf der Spur
date: May 13 2021
German interview with Katrin Amunts.
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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.