Evidence map›Paper›PMID 28077710›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Sensory Flow as a Basis for a Novel Distance Cue in Freely Behaving Electric Fish.

Volker Hofmann, Juan Ignacio Sanguinetti-Scheck, Leonel Gómez-Sena, Jacob Engelmann

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Task-Related Sensorimotor Adjustments Increase the Sensory Range in Electrolocation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  8. Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019
    Article
  9. Article
  10. Motion parallax in electric sensing.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. Review
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.

Volker HofmannBielefeld University, Active Sensing, Cognitive Interaction Technology-Center of Excellence and Faculty of Biology, 33501 Bielefeld, Germany, and.ORCID 0000-0002-5149-603X
Juan Ignacio Sanguinetti-ScheckUniversidad de la Republica, Sección Biomatemática, Laboratorio de Neurociencias, Facultad de Ciencias, 11400 Montevideo, Uruguay.ORCID 0000-0002-2511-208X
Leonel Gómez-SenaUniversidad de la Republica, Sección Biomatemática, Laboratorio de Neurociencias, Facultad de Ciencias, 11400 Montevideo, Uruguay jacob.engelmann@uni-bielefeld.de leonel.gomez@gmail.com.ORCID 0000-0002-3076-762X
Jacob EngelmannBielefeld University, Active Sensing, Cognitive Interaction Technology-Center of Excellence and Faculty of Biology, 33501 Bielefeld, Germany, and jacob.engelmann@uni-bielefeld.de leonel.gomez@gmail.com.ORCID 0000-0002-1054-0938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sensory input that an animal receives is directly linked to its motor activity. Behavior thus enables animals to influence their sensory input, a concept referred to as active sensing. How such behavior can serve as a scaffold for generating sensory information is of general scientific interest. In this article, we investigate how behavior can shape sensory information by using some unique features of the sensorimotor system of the weakly electric fish. Based on quantitative behavioral characterizations and computational reconstruction of sensory input, we show how electrosensory flow is actively created during highly patterned, spontaneous behavior in Gnathonemus petersii. The spatiotemporal structure of the sensory input provides information for the computation of a novel distance cue, which allows for a continuous estimation of distance. This has significant advantages over previously known nondynamic distance estimators as determined from electric image blur. Our investigation of the sensorimotor interactions in pulsatile electrolocation shows, for the first time, that the electrosensory flow contains behaviorally relevant information accessible only through active behavior. As patterned sensory behaviors are a shared feature of (active) sensory systems, our results have general implications for the understanding of (active) sensing, with the proposed sensory flow-based measure being potentially pertinent to a broad range of sensory modalities. SIGNIFICANCE STATEMENT: Acquisition of sensory information depends on motion, as either an animal or its sensors move. Behavior can thus actively influence the sensory flow; and in this way, behavior can be seen as a manifestation of the brain's integrative functions. The properties of the active pulsatile electrolocation system in Gnathonemus petersii allow for the sensory input to be computationally reconstructed, enabling us to link the informational content of spatiotemporal sensory dynamics to behavior. Our study reveals a novel sensory cue for estimating depth that is actively generated by the fishes' behavior. The physical and behavioral similarities between electrolocation and other active sensory systems suggest that this may be a mechanism shared by (active) sensory systems.

Indexed as

CuesAnimalsDistance PerceptionElectric FishElectric OrganLocomotionSpatial Behaviordistance estimationelectric fishelectrolocationnaturalistic behaviorsensorimotor interactionsensory flow

Identifiers

PMID28077710
PMCPMC6596575

What OpenQuestion holds

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Read underepoch 390

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.