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Showing 1–11 of 11 results
Advanced filters: Author: Viola Priesemann Clear advanced filters

  • Test, trace, and isolate programmes are central to COVID-19 control. Here, Viola Priesemann and colleagues evaluate how to allocate scarce resources to keep numbers low, and find that if case numbers exceed test, trace and isolate capacity, there will be a self-accelerating spread.

    • Sebastian Contreras
    • Jonas Dehning
    • Viola Priesemann
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • From infectious diseases to brain activity, complex systems can be approximated using autoregressive models. Here, the authors show that incomplete sampling can bias estimates of the stability of such systems, and introduce a novel, unbiased metric for use in such situations.

    • Jens Wilting
    • Viola Priesemann
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-7

  • In this Bayesian inference study, the authors aim to quantify the impact of the men’s 2020 UEFA Euro Football Championship on COVID-19 spread in twelve participating countries. They estimate that 0.84 million cases and 1,700 deaths were attributable to the championship, with most impacts in England and Scotland.

    • Jonas Dehning
    • Sebastian B. Mohr
    • Viola Priesemann
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • We can often observe only a small fraction of a system, which leads to biases in the inference of its global properties. Here, the authors develop a framework that enables overcoming subsampling effects, apply it to recordings from developing neural networks, and find that neural networks become critical as they mature.

    • A. Levina
    • V. Priesemann
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-9

  • Using a continuous social foraging game, this study shows that human pairs adopt stable cooperative, competitive, or mixed strategies. A computational model predicts dyadic choices and links these strategies to interaction dynamics, payoffs, and cost of cooperation.

    • Darius Lewen
    • Vladyslav Ivanov
    • Igor Kagan
    ResearchOpen Access
    Communications Psychology
    Volume: 3, P: 1-16

  • Hippocampal synapses in vitro show multi-timescale adaptation dynamics, which can facilitate the efficient transmission of information in hippocampal spike trains.

    • Fabian A. Mikulasch
    • Svilen V. Georgiev
    • Viola Priesemann
    ResearchOpen Access
    Communications Biology
    Volume: 8, P: 1-11

  • Designing efficient artificial networks able to quickly converge to optimal performance for a given task remains a challenge. Here, the authors demonstrate a relation between criticality, task-performance and information theoretic fingerprint in a spiking neuromorphic network with synaptic plasticity.

    • Benjamin Cramer
    • David Stöckel
    • Viola Priesemann
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-11

  • For many complex or living systems, it is impossible to individually sample all their units, but subsampling can heavily bias the inference about their collective properties. This Perspective presents the subsampling problem and reviews recent developments to overcome this fundamental limitation.

    • Anna Levina
    • Viola Priesemann
    • Johannes Zierenberg
    Reviews
    Nature Reviews Physics
    Volume: 4, P: 770-784