ArticleNature neuroscience2026
Competitive interactions shape mammalian brain network dynamics and computation.
Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Competition in the brain: a conserved principle with lifespan consequences.Communications biology · 2026Article
- Tract-explainable and underexplained synchrony play complementary roles in the functional organization of the brain.bioRxiv : the preprint server for biology · 2026Article
- Review
- Bridging local and global dynamics: a biologically grounded model for cooperative and competitive interactions in the brain.bioRxiv : the preprint server for biology · 2025Article
- Cognitive flexibility and brain network energy in healthy aging: An allostatic perspective from the SENECA model.Imaging neuroscience (Cambridge, Mass.)Article
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16 authors.
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Abstract
How does brain network architecture balance cooperation and competition between distributed circuits? Here we use computational whole-brain modeling to examine the dynamical and computational relevance of cooperative and competitive interactions in the mammalian connectome. Across human, macaque and mouse, we show that to faithfully reproduce brain activity, model architecture consistently combines modular cooperative interactions with diffuse, long-range competitive interactions. Across species, competitive interactions preferentially link regions characterized by opposite profiles of cytoarchitecture, gene expression and receptor expression. The model with competitive interactions provides superior subject specificity, consistently outperforming the cooperative-only model and exhibiting excellent fit to the spatiotemporal properties of the living brain. These properties were not explicitly optimized, instead emerging spontaneously. Competitive interactions in the generative connectivity produce more synergistic and hierarchical dynamics, leading to enhanced performance for neuromorphic computing. Altogether, this work provides a generative link among network architecture, dynamical properties and computational performance in the mammalian brain.
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Registered trials
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 Socratic graph.