Battaglia, Demian

[["dc.bibliographiccitation.firstpage","13"],["dc.bibliographiccitation.journal","Frontiers in neural circuits"],["dc.bibliographiccitation.lastpage","13"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Battaglia, Demian"],["dc.contributor.author","Karagiannis, Anastassios"],["dc.contributor.author","Gallopin, Thierry"],["dc.contributor.author","Gutch, Harold W."],["dc.contributor.author","Cauli, Bruno"],["dc.date.accessioned","2019-07-09T11:40:07Z"],["dc.date.available","2019-07-09T11:40:07Z"],["dc.date.issued","2013"],["dc.description.abstract","Cortical neurons and, particularly, inhibitory interneurons display a large diversity of morphological, synaptic, electrophysiological, and molecular properties, as well as diverse embryonic origins. Various authors have proposed alternative classification schemes that rely on the concomitant observation of several multimodal features. However, a broad variability is generally observed even among cells that are grouped into a same class. Furthermore, the attribution of specific neurons to a single defined class is often difficult, because individual properties vary in a highly graded fashion, suggestive of continua of features between types. Going beyond the description of representative traits of distinct classes, we focus here on the analysis of atypical cells. We introduce a novel paradigm for neuronal type classification, assuming explicitly the existence of a structured continuum of diversity. Our approach, grounded on the theory of fuzzy sets, identifies a small optimal number of model archetypes. At the same time, it quantifies the degree of similarity between these archetypes and each considered neuron. This allows highlighting archetypal cells, which bear a clear similarity to a single model archetype, and edge cells, which manifest a convergence of traits from multiple archetypes."],["dc.identifier.doi","10.3389/fncir.2013.00013"],["dc.identifier.fs","599400"],["dc.identifier.pmid","23403725"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10677"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58096"],["dc.language.iso","en"],["dc.notes","Financial support by the German Federal Ministry of Education and Research(BMBF)via the Bernstein Center for Computational Neuroscience—Göttingen (01GQ1005B),by the Human Frontier Science Program (RGY0070/2007)and by the Agence Nationale pour la Recherche(ANR 2011MALZ00301)."],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1662-5110"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Databases, Factual"],["dc.subject.mesh","Fuzzy Logic"],["dc.subject.mesh","Male"],["dc.subject.mesh","Neurons"],["dc.subject.mesh","Random Allocation"],["dc.subject.mesh","Rats"],["dc.subject.mesh","Rats, Wistar"],["dc.subject.mesh","Somatosensory Cortex"],["dc.title","Beyond the frontiers of neuronal types."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3642"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","3659"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Geisel, Theodor"],["dc.contributor.author","Karagiannis, Anastassios"],["dc.contributor.author","Gallopin, Thierry"],["dc.contributor.author","David, Csaba"],["dc.contributor.author","Battaglia, Demian"],["dc.contributor.author","Geoffroy, Helene"],["dc.contributor.author","Rossier, Jean"],["dc.contributor.author","Hillman, Elizabeth M. C."],["dc.contributor.author","Staiger, Jochen F."],["dc.contributor.author","Cauli, Bruno"],["dc.date.accessioned","2011-03-03T16:19:19Z"],["dc.date.accessioned","2021-10-11T11:34:43Z"],["dc.date.available","2011-03-03T16:19:19Z"],["dc.date.available","2021-10-11T11:34:43Z"],["dc.date.issued","2009"],["dc.description.abstract","Neuropeptide Y (NPY) is an abundant neuropeptide of the neocortex involved in numerous physiological and pathological processes. Because of the large electrophysiological, molecular, and morphological diversity of NPY-expressing neurons their precise identity remains unclear. To define distinct populations of NPY neurons we characterized, in acute slices of rat barrel cortex, 200 cortical neurons of layers I–IV by means of whole-cell patch-clamp recordings, biocytin labeling, and single-cell reverse transcriptase-PCR designed to probe for the expression of well established molecular markers for cortical neurons. To classify reliably cortical NPY neurons, we used and compared different unsupervised clustering algorithms based on laminar location and electrophysiological and molecular properties. These classification schemes confirmed that NPY neurons are nearly exclusively GABAergic and consistently disclosed three main types of NPY-expressing interneurons. (1) Neurogliaform-like neurons exhibiting a dense axonal arbor, were the most frequent and superficial, and substantially expressed the neuronal isoform of nitric oxide synthase. (2) Martinotti-like cells characterized by an ascending axon ramifying in layer I coexpressed somatostatin and were the most excitable type. (3) Among fast-spiking and parvalbumin-positive basket cells, NPY expression was correlated with pronounced spike latency. By clarifying the diversity of cortical NPY neurons, this study establishes a basis for future investigations aiming at elucidating their physiological roles."],["dc.identifier.doi","10.1523/JNEUROSCI.0058-09.2009"],["dc.identifier.fs","509361"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/5924"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90691"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","0270-6474"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","http://goedoc.uni-goettingen.de/licenses"],["dc.subject","NPY-Expressing Neocortical Interneurons"],["dc.subject.ddc","610"],["dc.title","Classification of NPY-Expressing Neocortical Interneurons"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]