ArticleNetwork neuroscience (Cambridge, Mass.)2026
An entropic measure of diverse specialization highlights multifunctional neurons in annotated connectomes.
Article in Network neuroscience (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Convergence-divergence circuits for multimodal integration of innate and learned opponent valences.Frontiers in systems neuroscience · 2026Article
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5 authors.
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Abstract
The creation and curation of synaptic-level neuronal networks, or connectomes, enables the study of the relationship between neuronal structure and function. Topological characteristics of neuronal networks have been studied extensively. Separately, there have been considerable efforts to classify the morphology, cell types, and lineages of neurons. Here, we introduce a network metric that combines topological analysis with node metadata. This entropic quantity measures the diversity of incoming or outgoing connections to a node in terms of the metadata distribution. We find that in
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