SyConn2: dense synaptic connectivity inference for volume electron microscopy

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1548-7105
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
SyConn2: dense synaptic connectivity inference for volume electron microscopy ; volume:19 ; number:11 ; day:24 ; month:10 ; year:2022 ; pages:1367-1370 ; date:11.2022
Nature methods ; 19, Heft 11 (24.10.2022), 1367-1370, 11.2022

Creator
Schubert, Philipp J.
Dorkenwald, Sven
Januszewski, Michał
Klimesch, Jonathan
Svara, Fabian
Mancu, Andrei
Ahmad, Hashir
Fee, Michale S.
Jain, Viren
Kornfeld, Joergen
Contributor
SpringerLink (Online service)

DOI
10.1038/s41592-022-01624-x
URN
urn:nbn:de:101:1-2023011921473229282215
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
11.06.2025, 1:33 PM CEST

Data provider

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Associated

  • Schubert, Philipp J.
  • Dorkenwald, Sven
  • Januszewski, Michał
  • Klimesch, Jonathan
  • Svara, Fabian
  • Mancu, Andrei
  • Ahmad, Hashir
  • Fee, Michale S.
  • Jain, Viren
  • Kornfeld, Joergen
  • SpringerLink (Online service)

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