ArticleNetwork neuroscience (Cambridge, Mass.)2020
Impact of higher order network structure on emergent cortical activity.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature.BMC medicine · 2021Pooled it
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- Modeling and simulation of neocortical micro- and mesocircuitry (Part II, Physiology and experimentation).eLife · 2026Article
- Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks.iScience · 2025Article
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- Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes.iScience · 2025Article
- Network structure influences self-organized criticality in neural networks with dynamical synapses.Frontiers in systems neuroscience · 2025Article
- Specific inhibition and disinhibition in the higher-order structure of a cortical connectome.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Cortical cell assemblies and their underlying connectivity: An in silico study.PLoS computational biology · 2024Article
- A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.Scientific reports · 2022Article
- Edges in brain networks: Contributions to models of structure and function.Network neuroscience (Cambridge, Mass.) · 2022Review
- Reconstruction of the Hippocampus.Advances in experimental medicine and biology · 2022Article
- The Role of Hub Neurons in Modulating Cortical Dynamics.Frontiers in neural circuits · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synaptic connectivity between neocortical neurons is highly structured. The network structure of synaptic connectivity includes first-order properties that can be described by pairwise statistics, such as strengths of connections between different neuron types and distance-dependent connectivity, and higher order properties, such as an abundance of cliques of all-to-all connected neurons. The relative impact of first- and higher order structure on emergent cortical network activity is unknown. Here, we compare network structure and emergent activity in two neocortical microcircuit models with different synaptic connectivity. Both models have a similar first-order structure, but only one model includes higher order structure arising from morphological diversity within neuronal types. We find that such morphological diversity leads to more heterogeneous degree distributions, increases the number of cliques, and contributes to a small-world topology. The increase in higher order network structure is accompanied by more nuanced changes in neuronal firing patterns, such as an increased dependence of pairwise correlations on the positions of neurons in cliques. Our study shows that circuit models with very similar first-order structure of synaptic connectivity can have a drastically different higher order network structure, and suggests that the higher order structure imposed by morphological diversity within neuronal types has an impact on emergent cortical activity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.