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The impact of neuron morphology on cortical network architecture.
Udvary, Daniel; Harth, Philipp; Macke, Jakob H; Hege, Hans-Christian; de Kock, Christiaan P J; Sakmann, Bert; Oberlaender, Marcel.
Afiliação
  • Udvary D; In Silico Brain Sciences Group, Max Planck Institute for Neurobiology of Behavior - caesar, Ludwig Erhard Allee 2, 53175 Bonn, Germany.
  • Harth P; Department of Visual and Data-Centric Computing, Zuse Institute Berlin, Takustraße 7, 14195 Berlin, Germany.
  • Macke JH; Machine Learning in Science, Tübingen University, Maria von Linden Straße 6, 72076 Tübingen, Germany.
  • Hege HC; Department of Visual and Data-Centric Computing, Zuse Institute Berlin, Takustraße 7, 14195 Berlin, Germany.
  • de Kock CPJ; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 Amsterdam, the Netherlands.
  • Sakmann B; Max Planck Institute of Neurobiology, Am Klopferspitz 18, 82152 Martinsried, Germany.
  • Oberlaender M; In Silico Brain Sciences Group, Max Planck Institute for Neurobiology of Behavior - caesar, Ludwig Erhard Allee 2, 53175 Bonn, Germany. Electronic address: marcel.oberlaender@mpinb.mpg.de.
Cell Rep ; 39(2): 110677, 2022 04 12.
Article em En | MEDLINE | ID: mdl-35417720
ABSTRACT
The neurons in the cerebral cortex are not randomly interconnected. This specificity in wiring can result from synapse formation mechanisms that connect neurons, depending on their electrical activity and genetically defined identity. Here, we report that the morphological properties of the neurons provide an additional prominent source by which wiring specificity emerges in cortical networks. This morphologically determined wiring specificity reflects similarities between the neurons' axo-dendritic projections patterns, the packing density, and the cellular diversity of the neuropil. The higher these three factors are, the more recurrent is the topology of the network. Conversely, the lower these factors are, the more feedforward is the network's topology. These principles predict the empirically observed occurrences of clusters of synapses, cell type-specific connectivity patterns, and nonrandom network motifs. Thus, we demonstrate that wiring specificity emerges in the cerebral cortex at subcellular, cellular, and network scales from the specific morphological properties of its neuronal constituents.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Neurônios Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Neurônios Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article