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Showing 1–14 of 14 results
Advanced filters: Author: Aming Li Clear advanced filters
  • This study shows that flickering visual stimulation at specific frequencies can enhance or impair visual learning by modulating brain plasticity after training, revealing a non-invasive way to influence learning consolidation.

    • Xin-Yue Yang
    • Chuyue Zhao
    • Fang Fang
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • Applying large-scale AI systems to multi-agent scenarios in real-world settings is challenging. The authors propose a decentralized model-based policy optimization framework to enable scalable decision-making.

    • Chengdong Ma
    • Aming Li
    • Yaodong Yang
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 6, P: 1006-1020
  • Ecosystems must be able to bounce back from perturbations to persist without species extinctions. This study uses theoretical modelling to show the importance of reactivity—how species respond in the short term to perturbations—for assessing the health of complex ecosystems, revealing that it can be a better predictor of extinction risk than stability.

    • Yuguang Yang
    • Katharine Z. Coyte
    • Aming Li
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-13
  • Studies of the evolution of cooperation often assume information use that is inconsistent with empirical observations. Here, the authors’ research on general imitation dynamics reveals that cooperation is fostered by individuals using less personal information and more social information.

    • Xiaochen Wang
    • Lei Zhou
    • Aming Li
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-11
  • Collective cooperation is found across many social and biological systems. Here, the authors find that infrequent hub updates promote the emergence of collective cooperation and develop an algorithm that optimises collective cooperation with update rates.

    • Yao Meng
    • Sean P. Cornelius
    • Aming Li
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11
  • Time delays in the responses of species to one another are expected to occur widely in nature. Using a new theoretical framework, the authors show that these delays can fundamentally shift how different communities respond to perturbations.

    • Yuguang Yang
    • Kevin R. Foster
    • Aming Li
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 7, P: 1610-1619
  • Many real-world systems are characterized by bursty dynamics with interchanging periods of intense activity and quiescence. The authors propose a method to construct temporal networks that match a given activity pattern, and apply it to empirical bursty patterns.

    • Anzhi Sheng
    • Qi Su
    • Joshua B. Plotkin
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-10
  • Asymmetrical movement among patches could affect the stability of ecological metapopulations, but this is difficult to test empirically. Here, Limdi et al. use experimental yeast metapopulations to show that asymmetric migration decreases stability but increases resilience to transient shocks.

    • Anurag Limdi
    • Alfonso Pérez-Escudero
    • Jeff Gore
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8
  • Population structure enables emergence of cooperation among individuals, but the impact of the dynamic nature of real interaction networks is not understood. Here, the authors study the evolution of cooperation on temporal networks and find that temporality enhances the evolution of cooperation.

    • Aming Li
    • Lei Zhou
    • Simon A. Levin
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9