Evidence map›Paper›PMID 30852123›Full record

ReviewTrends in cognitive sciences2019

Cognitive Control of Escape Behaviour.

Dominic A Evans, A Vanessa Stempel, Ruben Vale, Tiago Branco

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Trial
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  9. A model to quantify the probability of collision between birds and aircraft: Applications for onboard lighting.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
  10. Review
  11. Dorsal Raphe VIP Neurons Are Critical for Survival-Oriented Vigilance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  12. Review
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  19. Review
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36 more citing papers are in PubMed but not listed here.

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

4 authors.

Dominic A EvansSainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work.
A Vanessa StempelSainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work.
Ruben ValeSainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work.
Tiago BrancoSainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK. Electronic address: t.branco@ucl.ac.uk.

Funding

Medical Research Council MC_UP_1201/1Wellcome TrustWellcome Trust 098400/Z/12/Z
6 · The paper itself

Abstract

When faced with potential predators, animals instinctively decide whether there is a threat they should escape from, and also when, how, and where to take evasive action. While escape is often viewed in classical ethology as an action that is released upon presentation of specific stimuli, successful and adaptive escape behaviour relies on integrating information from sensory systems, stored knowledge, and internal states. From a neuroscience perspective, escape is an incredibly rich model that provides opportunities for investigating processes such as perceptual and value-based decision-making, or action selection, in an ethological setting. We review recent research from laboratory and field studies that explore, at the behavioural and mechanistic levels, how elements from multiple information streams are integrated to generate flexible escape behaviour.

Indexed as

EthologyNeurosciencesAnimalsBehavior, AnimalDecision MakingExecutive FunctionPerceptionbehavioural flexibilitydefenceinstinctive decisionsthreat

Identifiers

PMID30852123
PMCPMC6438863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.