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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},
}