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| Hauptseite > Publikationsdatenbank > Exploring the diversity of cortical wave activity with a unifying workflow approach > print |
| Hauptseite > Publikationsdatenbank > Exploring the diversity of cortical wave activity with a unifying workflow approach > print |
| 001 | 1014811 | ||
| 005 | 20240313095011.0 | ||
| 037 | _ | _ | |a FZJ-2023-03481 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Gutzen, Robin |0 P:(DE-Juel1)171572 |b 0 |u fzj |
| 111 | 2 | _ | |a Concluding Event of the Human Brain Project |c Jülich |d 2023-09-12 - 2023-09-13 |w Germany |
| 245 | _ | _ | |a Exploring the diversity of cortical wave activity with a unifying workflow approach |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1695101919_21354 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a Although brain waves have been studied for a long time, the complex spatial dynamics of such waves became observable only with high-resolution measurement technology. Recent studies of cortical wave activity present various propagation patterns, cortical localization, frequency regimes, and potentially functional roles [e.g. Denker et al. 2018, Davis et al. 2020].Such heterogeneity warrants analysis approaches that enable the combination and comparison of data and results from different sources, facilitating a cumulative understanding of cortical wave activity. We developed an adaptable and reusable workflow approach to combine various data modalities and analysis methods, by combining existing software tools and standards from the EBRAINS environment.We showcase how this approach enables large meta-studies, comparing slow wave activity in anesthetized mice across heterogenous data sources [Gutzen et al. 2022] and the calibration and validation of corresponding network models [Capone et al. 2023]. Further, we demonstrate its extension to new applications, data modalities, and wave types. Specifically, we analyze LFP phase waves in the visual cortex of the macaque monkey in the context of visual perception and the coordination of corresponding saccadic eye movements.In doing so, we illustrate how the adaptable reusability of research software accelerates research, enhances automation, supports collaboration, promotes reproducibility, and enables cross-domain comparisons. |
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| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |f H2020-SGA-FETFLAG-HBP-2017 |x 2 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 3 |
| 536 | _ | _ | |a JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) |0 G:(DE-Juel1)JL SMHB-2021-2027 |c JL SMHB-2021-2027 |x 4 |
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| 909 | C | O | |o oai:juser.fz-juelich.de:1014811 |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)171572 |
| 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)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5235 |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)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5231 |x 1 |
| 914 | 1 | _ | |y 2023 |
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