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Tarek Sherif, McGill Centre for Integrative Neuroscience

Pierre Rioux, McGill Centre for Integrative Neuroscience Mia Petkova, McGill Centre for Integrative Neuroscience Patricia Morosan, Forschungszentrum Jülich Philippe Massicotte, National Research Council of Canada Melanie Kleiner, Forschungszentrum Jülichĭave MacFarlane, McGill Centre for Integrative Neuroscience

Nicolas Kassis, McGill Centre for Integrative Neuroscience Samir Das, McGill Centre for Integrative Neuroscienceįranziska Henke, Forschungszentrum Jülichįlorian Janetzko, Forschungszentrum JülichĪndrew Janke, Center for Advanced Imaging, University of Queensland Reza Adalat, McGill Centre for Integrative Neuroscience

To enable collaboration, we build a transcontinental data sharing and computing platform in close interaction with the European "Human Brain Project" and the Canadian “Healthy Brains for Healthy Lives” program. We aim to extend this model by further increasing its resolution and integrating multimodal data, working closely with the neuroimaging, brain modelling, and AI communities to unleash its potential for research. 2013), we believe that there will be improvement in the precision and quality of neuroimaging support for qualitative and quantitative investigation of the brain. With the advent of the BigBrain - a human post-mortem brain that has been sectioned, stained for cell bodies, scanned at very high resolution, and then digitally reconstructed in 3D (Amunts, Evans et al. Currently established computer-based 3D neuroimaging tools cannot reproduce the anatomical details available from freshly cut brains, particularly for very convoluted cortical regions and in the subcortical areas. Researchers in brain simulation and AI have a growing need for detailed descriptions of the internal organisation of brain regions in terms of local morphology, cell densities, or connectivity. Neuroimaging methods rely on accurate brain models as ground truth to develop reliable approaches for probing the brain.