Modeling and Simulation of Rat Non-Barrel Somatosensory Cortex. Part I: Modeling Anatomy
Michael ReimanniD, Sirio Bolaños‐PuchetiD, Jean-Denis CourcoliD, Daniela Egas SantanderiD, Alexis ArnaudoniD, Benoît CosteiD, Fabien Delalondre, Thomas DelemontexiD, Adrien DevresseiD, Hugo DictusiD, Alexander DietziD, András EckeriD, Cyrille FavreauiD, Gianluca FicarelliiD, Mike GevaertiD, Joni HerttuaineniD, James B. IsbisteriD, Lida KanariiD, Daniel KelleriD, James Gonzalo KingiD, Pramod KumbhariD, Samuel LapereiD, Jānis LazovskisiD, Huanxiang LuiD, Nicolas Ninin, , Srikanth RamaswamyiD
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 a 211,712 neuron subvolume is made openly available to the community.
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