Evidence map›Paper›PMID 27067257›Full record

ArticleNature communications2016

Dynamic information routing in complex networks.

Christoph Kirst, Marc Timme, Demian Battaglia

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

  1. Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Quantifying synergy and redundancy between networks.Cell reports. Physical science · 2024
    Article
  13. Decomposing Neural Circuit Function into Information Processing Primitives.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  14. Perturbed Information Processing Complexity in Experimental Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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  15. Article
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  17. Functional control of oscillator networks.Nature communications · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christoph KirstNetwork Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.
Marc TimmeNetwork Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.
Demian BattagliaUniversité Aix-Marseille, INSERM UMR 1106, Institut de Neurosciences des Systémes, Marseille 13005, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate and dynamically route information is not well understood. Here we identify a generic mechanism to route information on top of collective dynamical reference states in complex networks. Switching between collective dynamics induces flexible reorganization of information sharing and routing patterns, as quantified by delayed mutual information and transfer entropy measures between activities of a network's units. We demonstrate the power of this mechanism specifically for oscillatory dynamics and analyse how individual unit properties, the network topology and external inputs co-act to systematically organize information routing. For multi-scale, modular architectures, we resolve routing patterns at all levels. Interestingly, local interventions within one sub-network may remotely determine nonlocal network-wide communication. These results help understanding and designing information routing patterns across systems where collective dynamics co-occurs with a communication function.

Identifiers

PMID27067257
PMCPMC4832059

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Registered trials

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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 OpenQuestion graph.