Hierarchical and nonhierarchical features of the mouse visual cortical network

Rinaldo D. D’Souza; Quanxin Wang; Weiqing Ji; Andrew M. Meier; Henry Kennedy; Kenneth Knoblauch; Andreas Burkhalter

doi:10.1038/s41467-022-28035-y

Nature Communications (Jan 2022)

Hierarchical and nonhierarchical features of the mouse visual cortical network

Rinaldo D. D’Souza,
Quanxin Wang,
Weiqing Ji,
Andrew M. Meier,
Henry Kennedy,
Kenneth Knoblauch,
Andreas Burkhalter

Affiliations

Rinaldo D. D’Souza: Department of Neuroscience, Washington University School of Medicine
Quanxin Wang: Department of Neuroscience, Washington University School of Medicine
Weiqing Ji: Department of Neuroscience, Washington University School of Medicine
Andrew M. Meier: Department of Neuroscience, Washington University School of Medicine
Henry Kennedy: Stem Cell and Brain Research Institute, Université Lyon, Université Claude Bernard Lyon 1, INSERM
Kenneth Knoblauch: Stem Cell and Brain Research Institute, Université Lyon, Université Claude Bernard Lyon 1, INSERM
Andreas Burkhalter: Department of Neuroscience, Washington University School of Medicine

DOI: https://doi.org/10.1038/s41467-022-28035-y
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 14

Abstract

Read online

Mouse visual cortex is a dense, interconnected network of distinct areas. D’Souza et al. identify an anatomical index to quantify the hierarchical nature of pathways, and highlight the hierarchical and nonhierarchical features of the network.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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