Hauptseite > Publikationsdatenbank > Making the multiscale organization of the human brain accessible to reproducible workflows using siibra-python > print |
001 | 1031456 | ||
005 | 20241107210038.0 | ||
037 | _ | _ | |a FZJ-2024-05675 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Dickscheid, Timo |0 P:(DE-Juel1)165746 |b 0 |u fzj |
111 | 2 | _ | |a 8th BigBrain Workshop |c Padua |d 2024-09-09 - 2024-09-11 |w Italy |
245 | _ | _ | |a Making the multiscale organization of the human brain accessible to reproducible workflows using siibra-python |
260 | _ | _ | |c 2024 |
336 | 7 | _ | |a lecture |2 DRIVER |
336 | 7 | _ | |a Generic |0 31 |2 EndNote |
336 | 7 | _ | |a MISC |2 BibTeX |
336 | 7 | _ | |a Lecture |b lecture |m lecture |0 PUB:(DE-HGF)17 |s 1730972560_6239 |2 PUB:(DE-HGF) |x Invited |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Text |2 DataCite |
520 | _ | _ | |a Understanding the human brain requires access to experimental data that capture relevant aspects of brain organization across a broad range of scales and modalities, and typically originate from a plethora of resources. To make multimodal and multidimensional measures of brain organization accessible, they need to be integrated into a common reference framework and exposed via suitable software interfaces. This tutorial will introduce participants to siibra toolsuite, which provides access to a multilevel atlas of the human brain built from “big data”. The atlas integrates brain reference templates at different spatial scales, complementary parcellation maps, and a wide range of multimodal data features. It links macroanatomical concepts and their inter-subject variability with measurements of the microstructural composition and intrinsic variance of brain regions, using cytoarchitectonic maps as a reference, and integrating the BigBrain model as microscopic reference template. The tool suite includes a web-based 3D viewer (siibra-explorer) and a Python library (siibra-python) to support a broad range of neuroscientific use cases. It makes use of EBRAINS as a data sharing platform and cloud infrastructure and implements interfaces to other neuroscience resources. The focus of this tutorial will be on building reproducible workflows with BigBrain data using the siibra-python library. |
536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |c POF4-525 |f POF IV |x 0 |
536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 1 |
536 | _ | _ | |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) |0 G:(DE-HGF)InterLabs-0015 |c InterLabs-0015 |x 2 |
536 | _ | _ | |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) |0 G:(EU-Grant)101147319 |c 101147319 |f HORIZON-INFRA-2022-SERV-B-01 |x 3 |
536 | _ | _ | |a Helmholtz AI - Helmholtz Artificial Intelligence Coordination Unit – Local Unit FZJ (E.40401.62) |0 G:(DE-Juel-1)E.40401.62 |c E.40401.62 |x 4 |
700 | 1 | _ | |a Bludau, Sebastian |0 P:(DE-Juel1)131636 |b 1 |u fzj |
856 | 4 | _ | |u https://events.hifis.net/event/1416/contributions/11503/ |
909 | C | O | |o oai:juser.fz-juelich.de:1031456 |p openaire |p VDB |p ec_fundedresources |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)165746 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)131636 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5251 |x 0 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5254 |x 1 |
914 | 1 | _ | |y 2024 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
980 | _ | _ | |a lecture |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
980 | _ | _ | |a UNRESTRICTED |
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