Evidence map›Paper›PMID 26549346›Full record

ArticleNature communications2015

The neural dynamics of sensory focus.

Stephen E Clarke, André Longtin, Leonard Maler

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Task-Related Sensorimotor Adjustments Increase the Sensory Range in Electrolocation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  4. Article
  5. Article
  6. Motion parallax in electric sensing.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  7. Article
  8. Sensory Flow as a Basis for a Novel Distance Cue in Freely Behaving Electric Fish.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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.

Stephen E ClarkeDepartment of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada K1N 8M5.
André LongtinDepartment of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada K1N 8M5.
Leonard MalerDepartment of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada K1N 8M5.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Coordinated sensory and motor system activity leads to efficient localization behaviours; but what neural dynamics enable object tracking and what are the underlying coding principles? Here we show that optimized distance estimation from motion-sensitive neurons underlies object tracking performance in weakly electric fish. First, a relationship is presented for determining the distance that maximizes the Fisher information of a neuron's response to object motion. When applied to our data, the theory correctly predicts the distance chosen by an electric fish engaged in a tracking behaviour, which is associated with a bifurcation between tonic and burst modes of spiking. Although object distance, size and velocity alter the neural response, the location of the Fisher information maximum remains invariant, demonstrating that the circuitry must actively adapt to maintain 'focus' during relative motion.

Indexed as

AnimalsDistance PerceptionElectric OrganGymnotiformesModels, NeurologicalMotion PerceptionPyramidal CellsSensory Receptor Cells

Identifiers

PMID26549346
PMCPMC4659932

What OpenQuestion holds

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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.