http://www.cnr.it/ontology/cnr/individuo/prodotto/ID9460
An integrated approach to classifying neuronal phenotypes. (Articolo in rivista)
- Type
- Label
- An integrated approach to classifying neuronal phenotypes. (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1038/nrn1769 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Migliore M.; Shepherd GM. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1. Yale Univ, Sch Med, Dept Neurobiol, New Haven, CT 06520 USA
2. CNR, Inst Biophys, I-90146 Palermo, Italy (literal)
- Titolo
- An integrated approach to classifying neuronal phenotypes. (literal)
- Abstract
- Characterizing the functional phenotypes of neurons is essential for understanding how genotypes can be related to the neural basis of behaviour. Traditional classifications of neurons by single features (such as morphology or firing behaviour) are increasingly inadequate for reflecting functional phenotypes, as they do not integrate functions across different neuronal types. Here, we describe a set of rules for identifying and predicting functional phenotypes that combine morphology, intrinsic ion channel species and their distributions in dendrites, and functional properties. This more comprehensive neuronal classification should be an improvement on traditional classifications for relating genotype to functional phenotype. (literal)
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