TY - JOUR A1 - Lang, Stefan A1 - Dercksen, Vincent J. A1 - Sakmann, Bert A1 - Oberlaender, Marcel T1 - Simulation of signal flow in 3D reconstructions of an anatomically realistic neural network in rat vibrissal cortex JF - Neural Networks Y1 - 2011 U6 - https://doi.org/doi:10.1016/j.neunet.2011.06.013 VL - 24 IS - 9 SP - 998 EP - 1011 ER - TY - GEN A1 - Dercksen, Vincent J. A1 - Oberlaender, Marcel A1 - Sakmann, Bert A1 - Hege, Hans-Christian T1 - Light Microscopy-Based Reconstruction and Interactive Structural Analysis of Cortical Neural Networks T2 - BioVis 2011 Abstracts, 1st IEEE Symposium on Biological Data Visualization Y1 - 2011 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 - JOUR A1 - Kleinfeld, David A1 - Bharioke, Arjun A1 - Blinder, Pablo A1 - Bock, David A1 - Briggman, Kevin A1 - Chklovskii, Dmitri A1 - Denk, Winfried A1 - Helmstaedter, Moritz A1 - Kaufhold, John A1 - Lee, Wei-Chung A1 - Meyer, Hanno A1 - Micheva, Kristina A1 - Oberlaender, Marcel A1 - Prohaska, Steffen A1 - Reid, R. A1 - Smith, Stephen A1 - Takemura, Shinya A1 - Tsai, Philbert A1 - Sakmann, Bert T1 - Large-scale automated histology in the pursuit of connectomes JF - Journal of Neuroscience Y1 - 2011 UR - http://www.zib.de/prohaska/docs/Kleinfeld_JNS_Connectomes_2011.pdf U6 - https://doi.org/10.1523/JNEUROSCI.4077-11.2011 VL - 31 IS - 45 SP - 16125 EP - 16138 ER - TY - JOUR A1 - Oberlaender, Marcel A1 - Dercksen, Vincent J. A1 - Egger, Robert A1 - Gensel, Maria A1 - Sakmann, Bert A1 - Hege, Hans-Christian T1 - Automated three-dimensional detection and counting of neuron somata JF - Journal of Neuroscience Methods Y1 - 2009 U6 - https://doi.org/10.1016/j.jneumeth.2009.03.008 VL - 180 IS - 1 SP - 147 EP - 160 ER - TY - GEN A1 - Oberlaender, Marcel A1 - Dercksen, Vincent J. A1 - Lang, Stefan A1 - Sakmann, Bert T1 - 3D mapping of synaptic connections within “in silico” microcircuits of full compartmental neurons in extended networks on the example of VPM axons projecting into S1 of rats. T2 - Conference Abstract, Neuroinformatics Y1 - 2009 U6 - https://doi.org/10.3389/conf.neuro.11.2009.08.092 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 - GEN A1 - Oberlaender, Marcel A1 - Dercksen, Vincent J. A1 - Broser, Philip J. A1 - Bruno, Randy M. A1 - Sakmann, Bert T1 - NeuroMorph and NeuroCount: Automated tools for fast and objective acquisition of neuronal morphology for quantitative structural analysis T2 - Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics Y1 - 2008 U6 - https://doi.org/10.3389/conf.neuro.11.2008.01.065 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 - TY - GEN A1 - Dercksen, Vincent J. A1 - Oberlaender, Marcel A1 - Sakmann, Bert A1 - Hege, Hans-Christian ED - Linsen, Lars ED - Hagen, Hans ED - Hamann, Bernd ED - Hege, Hans-Christian T1 - Interactive Visualization – a Key Prerequisite for Reconstruction of Anatomically Realistic Neural Networks T2 - Visualization in Medicine and Life Sciences II Y1 - 2012 UR - http://www.zib.de/visual/publications/sources/src-2012/DercksenVMLS2012web.pdf SP - 27 EP - 44 PB - Springer, Berlin 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 - 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 -