Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

Marwan Abdellah, Juan José García Cantero, Nadir Román Guerrero, Alessandro Foni, Jay S Coggan, Corrado Cali, Marco Agus, Eleftherios Zisis, Daniel Keller, Markus Hadwiger, Pierre J. Magistretti, Henry Markram, Felix Schürmann

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Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience
Abdellah, M. (Creator), Cantero, J. J. G. (Creator), Guerrero, N. R. (Creator), Foni, A. (Creator), Coggan, J. S. (Creator), Cali, C. (Creator), Agus, M. (Creator), Zisis, E. (Creator), Keller, D. (Creator), Hadwiger, M. (Creator), Magistretti, P. J. (Creator), Markram, H. (Creator) & Schürmann, F. (Creator), Zenodo, Oct 1 2022
DOI: 10.5281/zenodo.7105941, http://hdl.handle.net/10754/686870
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Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

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Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience