TY - JOUR A1 - Udvary, Daniel A1 - Harth, Philipp A1 - Macke, Jakob H. A1 - Hege, Hans-Christian A1 - de Kock, Christiaan P. J. A1 - Sakmann, Bert A1 - Oberlaender, Marcel T1 - A Theory for the Emergence of Neocortical Network Architecture JF - BioRxiv Y1 - 2020 U6 - https://doi.org/https://doi.org/10.1101/2020.11.13.381087 ER - TY - JOUR A1 - Oberlaender, Marcel A1 - de Kock, Christiaan P. J. A1 - Bruno, Randy M. A1 - Ramirez, Alejandro A1 - Meyer, Hanno A1 - Dercksen, Vincent J. A1 - Helmstaedter, Moritz A1 - Sakmann, Bert T1 - Cell Type-Specific Three-Dimensional Structure of Thalamocortical Circuits in a Column of Rat Vibrissal Cortex JF - Cerebral Cortex Y1 - 2012 U6 - https://doi.org/doi:10.1093/cercor/bhr317 VL - 22 IS - 10 SP - 2375 EP - 2391 ER - TY - GEN A1 - Oberlaender, Marcel A1 - Bruno, Randy M. A1 - de Kock, Christiaan P. J. A1 - Meyer, Hanno A1 - Dercksen, Vincent J. A1 - Sakmann, Bert T1 - 3D distribution and sub-cellular organization of thalamocortical VPM synapses for individual excitatory neuronal cell types in rat barrel cortex T2 - Conference Abstract No. 173.19/Y35, 39th Annual Meeting of the Society for Neuroscience (SfN) Y1 - 2009 ER - TY - JOUR A1 - Udvary, Daniel A1 - Harth, Philipp A1 - Macke, Jakob H. A1 - Hege, Hans-Christian A1 - de Kock, Christiaan P. J. A1 - Sakmann, Bert A1 - Oberlaender, Marcel T1 - The Impact of Neuron Morphology on Cortical Network Architecture JF - Cell Reports N2 - 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 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. Y1 - 2022 U6 - https://doi.org/10.1016/j.celrep.2022.110677 VL - 39 IS - 2 ER -