Erratum: A genetic and computational approach to structurally classify neuronal subtypes (Nature Communications (2014) 5 (3512) DOI: 10.1038/ncomms4512)

Uygar Sümbül; Sen Song; Kyle McCulloch; Michael Becker; Bin Lin; Joshua R. Sanes; Richard H. Masland; H. Sebastian Seung

doi:10.1038/ncomms5690

Erratum: A genetic and computational approach to structurally classify neuronal subtypes (Nature Communications (2014) 5 (3512) DOI: 10.1038/ncomms4512)

Uygar Sümbül
, Sen Song
, Kyle McCulloch
, Michael Becker
, Bin Lin
, Joshua R. Sanes
, Richard H. Masland
, H. Sebastian Seung

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Article number	4690
Journal	Nature communications
Volume	5
DOIs	https://doi.org/10.1038/ncomms5690
State	Published - 2014
Externally published	Yes

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10.1038/ncomms5690

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title = "Erratum: A genetic and computational approach to structurally classify neuronal subtypes (Nature Communications (2014) 5 (3512) DOI: 10.1038/ncomms4512)",

author = "Uygar S{\"u}mb{\"u}l and Sen Song and Kyle McCulloch and Michael Becker and Bin Lin and Sanes, \{Joshua R.\} and Masland, \{Richard H.\} and Seung, \{H. Sebastian\}",

year = "2014",

doi = "10.1038/ncomms5690",

language = "English (US)",

volume = "5",

journal = "Nature communications",

issn = "2041-1723",

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T2 - A genetic and computational approach to structurally classify neuronal subtypes (Nature Communications (2014) 5 (3512) DOI: 10.1038/ncomms4512)

AU - Sümbül, Uygar

AU - Song, Sen

AU - McCulloch, Kyle

AU - Becker, Michael

AU - Lin, Bin

AU - Sanes, Joshua R.

AU - Masland, Richard H.

AU - Seung, H. Sebastian

PY - 2014

Y1 - 2014

UR - https://www.scopus.com/pages/publications/84923384523

UR - https://www.scopus.com/pages/publications/84923384523#tab=citedBy

U2 - 10.1038/ncomms5690

DO - 10.1038/ncomms5690

M3 - Comment/debate

AN - SCOPUS:84923384523

SN - 2041-1723

VL - 5

JO - Nature communications

JF - Nature communications

M1 - 4690

ER -

Erratum: A genetic and computational approach to structurally classify neuronal subtypes (Nature Communications (2014) 5 (3512) DOI: 10.1038/ncomms4512)

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