Evidence map›Paper›PMID 30420510›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Conserved behavioral circuits govern high-speed decision-making in wild fish shoals.

Andrew M Hein, Michael A Gil, Colin R Twomey, Iain D Couzin, Simon A Levin

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
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  7. Article
  8. Understanding collective behavior through neurobiology.Current opinion in neurobiology · 2024
    Review
  9. Review
  10. Multispecies collective waving behaviour in fish.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  11. Wild animals suppress the spread of socially transmitted misinformation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Low-distortion information propagation with noise suppression in swarm networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Responsive robotic prey reveal how predators adapt to predictability in escape tactics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Review
  17. Searching for structure in collective systems.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  18. Article
  19. Fast behavioral feedbacks make ecosystems sensitive to pace and not just magnitude of anthropogenic environmental change.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. Article
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

5 authors at 4 institutions in 2 countries.

Andrew M HeinSouthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Santa Cruz, CA 95060; ahein@ucsc.edu.
Michael A GilSouthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Santa Cruz, CA 95060.ORCID 0000-0002-0411-8378
Colin R TwomeyDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104.
Iain D CouzinDepartment of Biology, University of Konstanz, 78457 Konstanz, Germany.ORCID 0000-0001-8556-4558
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.
National Oceanic and Atmospheric Administration · USPrinceton University · USUniversity of Konstanz · DEUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evade their predators, animals must quickly detect potential threats, gauge risk, and mount a response. Putative neural circuits responsible for these tasks have been isolated in laboratory studies. However, it is unclear whether and how these circuits combine to generate the flexible, dynamic sequences of evasion behavior exhibited by wild, freely moving animals. Here, we report that evasion behavior of wild fish on a coral reef is generated through a sequence of well-defined decision rules that convert visual sensory input into behavioral actions. Using an automated system to present visual threat stimuli to fish in situ, we show that individuals initiate escape maneuvers in response to the perceived size and expansion rate of an oncoming threat using a decision rule that matches dynamics of known loom-sensitive neural circuits. After initiating an evasion maneuver, fish adjust their trajectories using a control rule based on visual feedback to steer away from the threat and toward shelter. These decision rules accurately describe evasion behavior of fish from phylogenetically distant families, illustrating the conserved nature of escape decision-making. Our results reveal how the flexible behavioral responses required for survival can emerge from relatively simple, conserved decision-making mechanisms.

Indexed as

AnimalsAnimals, WildCoral ReefsDecision MakingEscape ReactionFishesPredatory BehaviorSwimmingVision, Oculardecision-makingevasionneural circuitneuroethologypredator–prey interactions

Identifiers

PMID30420510
PMCPMC6275531
OpenAlexW2901016518

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.