ArticleeLife2016
A simple generative model of the mouse mesoscale connectome.
Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Direct Outputs from the Cerebellum to the Brainstem and Diencephalon in Mammals.Cerebellum (London, England) · 2024Pooled it
- Hippocampal neural circuit mechanisms in Alzheimer's disease revealed by viral-genetic circuit mapping.Neurobiology of disease · 2025Review
- Sex-Specific Effects of Anxiety on Cognition and Activity-Dependent Neural Networks: Insights From (Female) Mice and (Wo)men.Biological psychiatry · 2025Article
- Neural network embedding of functional microconnectome.Network neuroscience (Cambridge, Mass.) · 2025Article
- A generative model of the connectome with dynamic axon growth.bioRxiv : the preprint server for biology · 2024Article
- A generative model of the connectome with dynamic axon growth.Network neuroscience (Cambridge, Mass.) · 2024Article
- Network structure of the mouse brain connectome with voxel resolution.Science advances · 2020Article
- Corrigendum: A Student's Guide to Neural Circuit Tracing.Frontiers in neuroscience · 2020Article
- Synchronization dependent on spatial structures of a mesoscopic whole-brain network.PLoS computational biology · 2019Article
- A Student's Guide to Neural Circuit Tracing.Frontiers in neuroscience · 2019Review
- Towards Differential Connectomics with NeuroVIISAS.Neuroinformatics · 2019Article
- Specificity and robustness of long-distance connections in weighted, interareal connectomes.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Multi-scale brain networks.NeuroImage · 2017Review
- Altering neuronal excitability to preserve network connectivity in a computational model of Alzheimer's disease.PLoS computational biology · 2017Article
- Functional and effective whole brain connectivity using magnetoencephalography to identify monozygotic twin pairs.Scientific reports · 2017Article
- Mapping and Analysis of the Connectome of Sympathetic Premotor Neurons in the Rostral Ventrolateral Medulla of the Rat Using a Volumetric Brain Atlas.Frontiers in neural circuits · 2017Article
- Spatial Embedding and Wiring Cost Constrain the Functional Layout of the Cortical Network of Rodents and Primates.PLoS biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent technological advances now allow for the collection of vast data sets detailing the intricate neural connectivity patterns of various organisms. Oh et al. (2014) recently published the most complete description of the mouse mesoscale connectome acquired to date. Here we give an in-depth characterization of this connectome and propose a generative network model which utilizes two elemental organizational principles: proximal attachment ‒ outgoing connections are more likely to attach to nearby nodes than to distant ones, and source growth ‒ nodes with many outgoing connections are likely to form new outgoing connections. We show that this model captures essential principles governing network organization at the mesoscale level in the mouse brain and is consistent with biologically plausible developmental processes.
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