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@ARTICLE{DeFelipe:132186,
author = {DeFelipe, Javier and López-Cruz, Pedro L. and
Benavides-Piccione, Ruth and Bielza, Concha and Larrañaga,
Pedro and Anderson, Stewart and Burkhalter, Andreas and
Cauli, Bruno and Fairén, Alfonso and Feldmeyer, Dirk and
Fishell, Gord and Fitzpatrick, David and Freund, Tamás F.
and González-Burgos, Guillermo and Hestrin, Shaul and Hill,
Sean and Hof, Patrick R. and Huang, Josh and Jones, Edward
G. and Kawaguchi, Yasuo and Kisvárday, Zoltán and Kubota,
Yoshiyuki and Lewis, David A. and Marín, Oscar and Markram,
Henry and McBain, Chris J. and Meyer, Hanno S. and Monyer,
Hannah and Nelson, Sacha B. and Rockland, Kathleen and
Rossier, Jean and Rubenstein, John L. R. and Rudy, Bernardo
and Scanziani, Massimo and Shepherd, Gordon M. and Sherwood,
Chet C. and Staiger, Jochen F. and Tamás, Gábor and
Thomson, Alex and Wang, Yun and Yuste, Rafael and Ascoli,
Giorgio A.},
title = {{N}ew insights into the classification and nomenclature of
cortical {GABA}ergic interneurons},
journal = {Nature reviews / Neuroscience},
volume = {14},
number = {3},
issn = {1471-0048},
address = {London},
publisher = {Nature Publishing Group, a division of Macmillan Publishers
Ltd},
reportid = {FZJ-2013-01417},
pages = {202 - 216},
year = {2013},
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.},
cin = {INM-2},
ddc = {590},
cid = {I:(DE-Juel1)INM-2-20090406},
pnm = {331 - Signalling Pathways and Mechanisms in the Nervous
System (POF2-331)},
pid = {G:(DE-HGF)POF2-331},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000315704600014},
pubmed = {pmid:23385869},
doi = {10.1038/nrn3444},
url = {https://juser.fz-juelich.de/record/132186},
}