Evidence map›Paper›PMID 28257127›Full record

ArticleScientific reports2017

Electrosensory capture during multisensory discrimination of nearby objects in the weakly electric fish Gnathonemus petersii.

Sarah Schumacher, Theresa Burt de Perera, Gerhard von der Emde

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The visual challenges of short-range navigation in teleost fish.The Journal of experimental biology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Sensory Cues Modulate Smooth Pursuit and Active Sensing Movements.Frontiers in behavioral neuroscience · 2019
    Article
  6. Article
  7. 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

3 authors.

Sarah SchumacherInstitut für Zoologie, Universität Bonn, Endenicher Allee 11-13, 53115, Bonn, Germany.
Theresa Burt de PereraDepartment of Zoology, University of Oxford, South Parks Road, OX1 3PS, Oxford, United Kingdom.
Gerhard von der EmdeInstitut für Zoologie, Universität Bonn, Endenicher Allee 11-13, 53115, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal multisensory systems are able to cope with discrepancies in information provided by individual senses by integrating information using a weighted average of the sensory inputs. Such sensory weighting often leads to a dominance of a certain sense during particular tasks and conditions, also called sensory capture. Here we investigated the interaction of vision and active electrolocation during object discrimination in the weakly electric fish Gnathonemus petersii. Fish were trained to discriminate between two objects using both senses and were subsequently tested using either only vision or only the active electric sense. We found that at short range the electric sense dominates over vision, leading to a decreased ability to discriminate between objects visually when vision and electrolocation provide conflicting information. In line with visual capture in humans, we call this dominance of the electric sense electrosensory capture. Further, our results suggest that the fish are able to exploit the advantages of multiple senses using vision and electrolocation redundantly, synergistically and complementarily. Together our results show that by providing similar information about the environment on different spatial scales, vision and the electric sense of G. petersii are well attuned to each other producing a robust and flexible percept.

Indexed as

Electrophysiological PhenomenaAnimalsBehavior, AnimalElectric FishPsychomotor Performance

Identifiers

PMID28257127
PMCPMC5363222

What OpenQuestion holds

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LicenceCC BY
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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.