This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/28333 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-82427-3_1 in citations.
A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses
A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses
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Personal Name(s): | Behuet, Sabrina (Corresponding author) |
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Bludau, Sebastian / Kedo, Olga / Schiffer, Christian / Dickscheid, Timo / Brandstetter, Andrea / Massicotte, Philippe / Omidyeganeh, Mona / Evans, Alan / Amunts, Katrin | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Published in: |
Brain-Inspired Computing / Amunts, Katrin (Editor) 828-0867] |
Imprint: |
Cham
Springer International Publishing
2021
|
Physical Description: |
3 - 21 |
ISBN: |
978-3-030-82427-3 (electronic) 978-3-030-82426-6 (print) |
DOI: |
10.1007/978-3-030-82427-3_1 |
Conference: | 4th International Workshop on Brain-Inspired Computing, Cetraro (Italy), 2019-07-15 - 2019-07-19 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Helmholtz Artificial Intelligence Coordination Unit – Local Unit FZJ Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) Human Brain Project Specific Grant Agreement 3 Multilevel Brain Organization and Variability |
Series Title: |
Lecture Notes in Computer Science
12339 |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-82427-3_1 in citations.
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