001     3699
005     20180208200846.0
024 7 _ |2 pmid
|a pmid:18802122
024 7 _ |2 DOI
|a 10.1093/cercor/bhn130
024 7 _ |2 WOS
|a WOS:000263945100019
037 _ _ |a PreJuSER-3699
041 _ _ |a eng
082 _ _ |a 610
084 _ _ |2 WoS
|a Neurosciences
100 1 _ |a Helmstaedter, M.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a L2/3 Interneuron Groups Defined by Multiparameter Analysis of Axonal Projection, Dendritic Geometry, and Electrical Excitability
260 _ _ |a Oxford
|b Oxford Univ. Press
|c 2009
300 _ _ |a 951 - 962
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Cerebral Cortex
|x 1047-3211
|0 1171
|y 4
|v 19
500 _ _ |a This work was supported by the Max-Planck Society.
520 _ _ |a For a detailed description of the circuitry of cortical columns at the level of single neurons, it is essential to define the identities of the cell types that constitute these columns. For interneurons (INs), we described 4 "types of axonal projection patterns" in layer 2/3 (L2/3) with reference to the outlines of a cortical column (Helmstaedter et al. 2008a). In addition we quantified the dendritic geometry and electrical excitability of 3 types of the L2/3 INs: "local," "lateral," and "translaminar" inhibitors (Helmstaedter et al. 2008b). Here, we used an iterated cluster analysis (iCA) that combines axonal projection patterns with dendritic geometry and electrical excitability parameters to identify "groups" of INs, from a sample of 39 cells. The iCA defined 9 groups of INs. We propose a hierarchical scheme for identifying L2/3 INs. First, L2/3 INs can be classified as 4 types of axonal projections. Second, L2/3 INs can be subclassified as 9 groups with a high within-group similarity of dendritic, axonal, and electrical parameters. This scheme of identifying L2/3 INs may help to quantitatively describe inhibitory effects on sensory stimulus representations in L2/3 of cortical columns.
536 _ _ |a Funktion und Dysfunktion des Nervensystems
|c P33
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK409
|x 0
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Action Potentials: physiology
650 _ 2 |2 MeSH
|a Animals
650 _ 2 |2 MeSH
|a Axons: physiology
650 _ 2 |2 MeSH
|a Dendrites: physiology
650 _ 2 |2 MeSH
|a Excitatory Postsynaptic Potentials: physiology
650 _ 2 |2 MeSH
|a Interneurons: cytology
650 _ 2 |2 MeSH
|a Interneurons: physiology
650 _ 2 |2 MeSH
|a Neural Pathways: cytology
650 _ 2 |2 MeSH
|a Neural Pathways: physiology
650 _ 2 |2 MeSH
|a Rats
650 _ 2 |2 MeSH
|a Rats, Wistar
650 _ 2 |2 MeSH
|a Somatosensory Cortex: physiology
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a axons
653 2 0 |2 Author
|a barrel cortex
653 2 0 |2 Author
|a cluster analysis
653 2 0 |2 Author
|a dendrites
653 2 0 |2 Author
|a electrical excitability
653 2 0 |2 Author
|a GABAergic interneuron
653 2 0 |2 Author
|a lateral inhibition
653 2 0 |2 Author
|a layer 2
653 2 0 |2 Author
|a 3
700 1 _ |a Sakmann, B.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Feldmeyer, D.
|b 2
|u FZJ
|0 P:(DE-Juel1)131680
773 _ _ |a 10.1093/cercor/bhn130
|g Vol. 19, p. 951 - 962
|p 951 - 962
|q 19<951 - 962
|0 PERI:(DE-600)1483485-6
|t Cerebral cortex
|v 19
|y 2009
|x 1047-3211
856 7 _ |u http://dx.doi.org/10.1093/cercor/bhn130
909 C O |o oai:juser.fz-juelich.de:3699
|p VDB
913 1 _ |k P33
|v Funktion und Dysfunktion des Nervensystems
|l Funktion und Dysfunktion des Nervensystems
|b Gesundheit
|0 G:(DE-Juel1)FUEK409
|x 0
914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |0 I:(DE-Juel1)INM-2-20090406
|k INM-2
|l Molekulare Organisation des Gehirns
|g INM
|x 0
920 1 _ |0 I:(DE-82)080010_20140620
|k JARA-BRAIN
|l Jülich-Aachen Research Alliance - Translational Brain Medicine
|g JARA
|x 1
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980 _ _ |a VDB
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980 _ _ |a journal
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980 _ _ |a I:(DE-82)080010_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)VDB1046


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