Neural assemblies uncovered by generative modeling explain whole-brain activity 
statistics and reflect structural connectivity

van der Plas, Thijs L.; Tubiana, Jérôme; Le Goc, Guillaume; Migault, Geoffrey; Kunst, Michael; Baier, Herwig; Bormuth, Volker; Englitz, Bernhard; Debrégeas, Georges

doi:10.7554/eLife.83139

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Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity

van der Plas, T. L., Tubiana, J., Le Goc, G., Migault, G., Kunst, M., Baier, H., et al. (2023). Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity. eLife, 12: e83139. doi:10.7554/eLife.83139.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-47A3-C Version Permalink: https://hdl.handle.net/21.11116/0000-000C-A84B-3

Genre: Journal Article

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van der Plas, Thijs L., Author
Tubiana, Jérôme, Author
Le Goc, Guillaume, Author
Migault, Geoffrey, Author
Kunst, Michael¹, Author
Baier, Herwig¹, Author
Bormuth, Volker, Author
Englitz, Bernhard, Author
Debrégeas, Georges, Author

Affiliations:
1Department: Genes-Circuits-Behavior / Baier, Martinsried, Max Planck Institute for Biological Intelligence, Max Planck Society, ou_3398374

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Dates: Date issued: 2023-01-17

Publication Status: Issued

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Identifiers: DOI: 10.7554/eLife.83139
Other: MEDLINE:36648065

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Title: eLife

Source Genre: Journal

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Publ. Info: Cambridge : eLife Sciences Publications

Pages: - Volume / Issue: 12 Sequence Number: e83139 Start / End Page: - Identifier: Other: URL
ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X