Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome.
D. melanogaster
circuit modeling
connectomics
electron microscopy
neuroscience
statistical modeling
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
28 03 2023
28 03 2023
Historique:
received:
27
09
2022
accepted:
27
03
2023
medline:
21
4
2023
pubmed:
29
3
2023
entrez:
28
3
2023
Statut:
epublish
Résumé
Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an open problem, and such analysis has not been extensively applied to nanoscale connectomes. Here, we investigate this problem via a case study on the bilateral symmetry of a larval
Identifiants
pubmed: 36976249
doi: 10.7554/eLife.83739
pii: 83739
pmc: PMC10115445
doi:
pii:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIMH NIH HHS
ID : RF1 MH123233
Pays : United States
Informations de copyright
© 2023, Pedigo et al.
Déclaration de conflit d'intérêts
BP, MP, EB, MW, CP, JV No competing interests declared
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