Journal Article

FZJ-2013-01417

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png New insights into the classification and nomenclature of cortical GABAergic interneurons

DeFelipe, J. (Corresponding author) ; López-Cruz, P. L. ; Benavides-Piccione, R. ; Bielza, C. ; Larrañaga, P. ; Anderson, S. ; Burkhalter, A. ; Cauli, B. ; Fairén, A. ; Feldmeyer, D.FZJ* ; Fishell, G. ; Fitzpatrick, D. ; Freund, T. F. ; González-Burgos, G. ; Hestrin, S. ; Hill, S. ; Hof, P. R. ; Huang, J. ; Jones, E. G. ; Kawaguchi, Y. ; Kisvárday, Z. ; Kubota, Y. ; Lewis, D. A. ; Marín, O. ; Markram, H. ; McBain, C. J. ; Meyer, H. S. ; Monyer, H. ; Nelson, S. B. ; Rockland, K. ; Rossier, J. ; Rubenstein, J. L. R. ; Rudy, B. ; Scanziani, M. ; Shepherd, G. M. ; Sherwood, C. C. ; Staiger, J. F. ; Tamás, G. ; Thomson, A. ; Wang, Y. ; Yuste, R. ; Ascoli, G. A.

2013
Nature Publishing Group, a division of Macmillan Publishers Ltd London

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Please use a persistent id in citations: doi:10.1038/nrn3444

Abstract: A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

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Contributing Institute(s):

1. Molekulare Organisation des Gehirns (INM-2)

Research Program(s):

1. 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) (POF2-331)

Appears in the scientific report 2013

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Database coverage:
; BIOSIS Previews ; BIOSIS Reviews Reports And Meetings ; Current Contents - Life Sciences ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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