Title: A genetic and computational approach to structurally classify neuronal types

Type Dataset Sümbül, Uygar, Song, Sen (2014): A genetic and computational approach to structurally classify neuronal types. Zenodo. Dataset. https://zenodo.org/record/10737

Authors: Sümbül, Uygar (Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA) ; Song, Sen (Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

This a missing piece of supplemental information that should accompany the article

A genetic and computational approach to structurally classify neuronal types

The file was kindly supplied by Uygar Sumbul, but has not yet appeared on the nature communications website.

More information

• URL: https://zenodo.org/record/10737
• ISIDENTICALTO: https://doi.org/10.1038/ncomms4512

Subjects

• neuroanatomy

Dates

• Publication date: 2014
• Issued: March 24, 2014

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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