Evidence map›Paper›PMID 27170650›Full record

ArticleJournal of the Royal Society, Interface2016

Dynamic modulation of visual and electrosensory gains for locomotor control.

Erin E Sutton, Alican Demir, Sarah A Stamper, Eric S Fortune, Noah J Cowan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. How tp1, an indirect wing steering muscle, stabilizesbioRxiv : the preprint server for biology · 2025
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  4. Review
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  9. Sensory Cues Modulate Smooth Pursuit and Active Sensing Movements.Frontiers in behavioral neuroscience · 2019
    Article
  10. Article
  11. Motion parallax in electric sensing.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Integration of parallel mechanosensory and visual pathways resolved through sensory conflict.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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 2 institutions in 1 country.

Erin E SuttonDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA esutton5@jhu.edu.
Alican DemirDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Sarah A StamperDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Eric S FortuneDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, USA.
Noah J CowanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USNew Jersey Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal nervous systems resolve sensory conflict for the control of movement. For example, the glass knifefish, Eigenmannia virescens, relies on visual and electrosensory feedback as it swims to maintain position within a moving refuge. To study how signals from these two parallel sensory streams are used in refuge tracking, we constructed a novel augmented reality apparatus that enables the independent manipulation of visual and electrosensory cues to freely swimming fish (n = 5). We evaluated the linearity of multisensory integration, the change to the relative perceptual weights given to vision and electrosense in relation to sensory salience, and the effect of the magnitude of sensory conflict on sensorimotor gain. First, we found that tracking behaviour obeys superposition of the sensory inputs, suggesting linear sensorimotor integration. In addition, fish rely more on vision when electrosensory salience is reduced, suggesting that fish dynamically alter sensorimotor gains in a manner consistent with Bayesian integration. However, the magnitude of sensory conflict did not significantly affect sensorimotor gain. These studies lay the theoretical and experimental groundwork for future work investigating multisensory control of locomotion.

Indexed as

AnimalsFeedback, SensoryGymnotiformesSwimmingVisual Perceptionfeedback controllocomotionmultisensory integrationsensory conflictsystem identificationweakly electric fish

Identifiers

PMID27170650
PMCPMC4892261
OpenAlexW2368740478

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.