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Abstract 


The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, interregional connectivity. We present a data-driven computational model of the anatomy of non-barrel primary somatosensory cortex of juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. The model consists of 4.2 million morphologically detailed neurons, placed in a digital brain atlas. They are connected by 14.2 billion synapses, comprising local, mid-range and extrinsic connectivity. We delineated the limits of determining connectivity from neuron morphology and placement, finding that it reproduces targeting by Sst+ neurons, but requires additional specificity to reproduce targeting by PV+ and VIP+ interneurons. Globally, connectivity was characterized by local clusters tied together through hub neurons in layer 5, demonstrating how local and interegional connectivity are complicit, inseparable networks. The model is suitable for simulation-based studies, and the model is made openly available to the community.

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    Funding 


    Funders who supported this work.

    Academy of Medical Sciences (1)

    Air Force Office of Scientific Research (1)

    ETH Board of the Swiss Federal Institutes of Technology (1)

    Engineering and Physical Sciences Research Council (1)

    Fulbright Association (1)

    HORIZON EUROPE Marie Sklodowska-Curie Actions (1)

    International Brain Research Organization (1)

    Lister Institute of Preventive Medicine (1)

    Newcastle University (1)

    • Grant ID: Academic Track (NUAcT) Fellowship

    Okinawa Institute of Science and Technology Graduate University (1)

    • Grant ID: Theoretical Sciences Visiting Program

    École Polytechnique Fédérale de Lausanne (1)

    • Grant ID: collaboration grant

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