Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neurocientists according to a pragmatic classification scheme composed of five categorical variables, namely, of the...

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Autors principals:	Bojan eMihaljević, Concha eBielza, Ruth eBenavides-Piccione, Javier eDeFelipe, Pedro eLarrañaga
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2014-11-01
Col·lecció:	Frontiers in Computational Neuroscience
Matèries:	consensus Neuronal morphology Probabilistic labels Distance-weighted k nearest neighbors Multiple annotators
Accés en línia:	http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00150/full
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