Of mice and men: Dendritic architecture differentiates human from mice neuronal networks

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for mice and humans. Human neurons form highly complex networks demonstrated by their increased number and simplex dimension compared to mice. This is surprising because human pyramidal cells are much sparser. The number and size of neurons fail to account for this increased network complexity, suggesting that another morphological property is a key determinant of network connectivity. The topological comparison of the dendritic structure reveals higher perisomatic density in human pyramidal cells. We quantitatively show that this neuronal structural property directly impacts network complexity, including the formation of a rich subnetwork structure. Therefore, greater dendritic complexity, a defining attribute of human pyramidal cells, may provide the human cortex with enhanced computational capacity and cognitive flexibility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-21
DOI
https://doi.org/10.5281/zenodo.14258204
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
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article

Of mice and men: Dendritic architecture differentiates human from mice neuronal networks

Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
article

Of mice and men: Dendritic architecture differentiates human from mice neuronal networks

article en

Abstract

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for mice and humans. Human neurons form highly complex networks demonstrated by their increased number and simplex dimension compared to mice. This is surprising because human pyramidal cells are much sparser. The number and size of neurons fail to account for this increased network complexity, suggesting that another morphological property is a key determinant of network connectivity. The topological comparison of the dendritic structure reveals higher perisomatic density in human pyramidal cells. We quantitatively show that this neuronal structural property directly impacts network complexity, including the formation of a rich subnetwork structure. Therefore, greater dendritic complexity, a defining attribute of human pyramidal cells, may provide the human cortex with enhanced computational capacity and cognitive flexibility.

Zenodo (CERN European Organization for Nuclear Research)
Consejo Superior de Investigaciones Científicas (ES), Hebrew University of Jerusalem (IL), Instituto Cajal (ES), Centre Hospitalier Universitaire Vaudois (CH), Unidades Centrales Científico-Técnicas (ES), École Polytechnique Fédérale de Lausanne (CH), Vrije Universiteit Amsterdam (NL), University of Lausanne (CH)
Openalex Percentile: Top 57%
Neural dynamics and brain function
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