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A null model of the mouse whole-neocortex micro-connectome

Author

Listed:
  • Michael W. Reimann

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

  • Michael Gevaert

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

  • Ying Shi

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

  • Huanxiang Lu

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

  • Henry Markram

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

  • Eilif Muller

    (Ecole Polytechnique Fédérale de Lausanne (EPFL))

Abstract

In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-scale connectomics, studying connectivity between individual neurons. We combine these two complementary views of connectomics to build a first draft statistical model of the micro-connectome of a whole mouse neocortex based on available data on region-to-region connectivity and individual whole-brain axon reconstructions. This process reveals a targeting principle that allows us to predict the innervation logic of individual axons from meso-scale data. The resulting connectome recreates biological trends of targeting on all scales and predicts that an established principle of scale invariant topological organization of connectivity can be extended down to the level of individual neurons. It can serve as a powerful null model and as a substrate for whole-brain simulations.

Suggested Citation

  • Michael W. Reimann & Michael Gevaert & Ying Shi & Huanxiang Lu & Henry Markram & Eilif Muller, 2019. "A null model of the mouse whole-neocortex micro-connectome," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11630-x
    DOI: 10.1038/s41467-019-11630-x
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    Cited by:

    1. Diek W. Wheeler & Shaina Banduri & Sruthi Sankararaman & Samhita Vinay & Giorgio A. Ascoli, 2024. "Unsupervised classification of brain-wide axons reveals the presubiculum neuronal projection blueprint," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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