Cellular connectomes as arbiters of local circuit models in the cerebral cortex
Large-scale connectomes from the mammalian brain are becoming available, but it remains unclear how informative these are for the distinction of circuit models. Here, the authors use connectome statistics to test competing models of local cortical circuits with approximate Bayesian computation.
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/976449bebfec47c3a21f9ec50a671ef2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:976449bebfec47c3a21f9ec50a671ef2 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:976449bebfec47c3a21f9ec50a671ef22021-12-02T16:50:26ZCellular connectomes as arbiters of local circuit models in the cerebral cortex10.1038/s41467-021-22856-z2041-1723https://doaj.org/article/976449bebfec47c3a21f9ec50a671ef22021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22856-zhttps://doaj.org/toc/2041-1723Large-scale connectomes from the mammalian brain are becoming available, but it remains unclear how informative these are for the distinction of circuit models. Here, the authors use connectome statistics to test competing models of local cortical circuits with approximate Bayesian computation.Emmanuel KlingerAlessandro MottaCarsten MarrFabian J. TheisMoritz HelmstaedterNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Emmanuel Klinger Alessandro Motta Carsten Marr Fabian J. Theis Moritz Helmstaedter Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
description |
Large-scale connectomes from the mammalian brain are becoming available, but it remains unclear how informative these are for the distinction of circuit models. Here, the authors use connectome statistics to test competing models of local cortical circuits with approximate Bayesian computation. |
format |
article |
author |
Emmanuel Klinger Alessandro Motta Carsten Marr Fabian J. Theis Moritz Helmstaedter |
author_facet |
Emmanuel Klinger Alessandro Motta Carsten Marr Fabian J. Theis Moritz Helmstaedter |
author_sort |
Emmanuel Klinger |
title |
Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
title_short |
Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
title_full |
Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
title_fullStr |
Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
title_full_unstemmed |
Cellular connectomes as arbiters of local circuit models in the cerebral cortex |
title_sort |
cellular connectomes as arbiters of local circuit models in the cerebral cortex |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/976449bebfec47c3a21f9ec50a671ef2 |
work_keys_str_mv |
AT emmanuelklinger cellularconnectomesasarbitersoflocalcircuitmodelsinthecerebralcortex AT alessandromotta cellularconnectomesasarbitersoflocalcircuitmodelsinthecerebralcortex AT carstenmarr cellularconnectomesasarbitersoflocalcircuitmodelsinthecerebralcortex AT fabianjtheis cellularconnectomesasarbitersoflocalcircuitmodelsinthecerebralcortex AT moritzhelmstaedter cellularconnectomesasarbitersoflocalcircuitmodelsinthecerebralcortex |
_version_ |
1718383053462568960 |