Evidence map›Paper›PMID 27128376›Full record

ArticleeLife2016

Neural correlations enable invariant coding and perception of natural stimuli in weakly electric fish.

Michael G Metzen, Volker Hofmann, Maurice J Chacron

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Accounting for Bias in the Estimation ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  6. Article
  7. Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  8. Article
  9. Article
  10. Encoding and Perception of Electro-communication Signals inFrontiers in integrative neuroscience · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Michael G MetzenDepartment of Physiology, McGill University, Montreal, Canada.ORCID 0000-0002-2365-4192
Volker HofmannDepartment of Physiology, McGill University, Montreal, Canada.ORCID 0000-0002-5149-603X
Maurice J ChacronDepartment of Physiology, McGill University, Montreal, Canada.ORCID 0000-0002-3032-452X

Funding

CIHR 126181-1CIHR 83338-2
6 · The paper itself

Abstract

Neural representations of behaviorally relevant stimulus features displaying invariance with respect to different contexts are essential for perception. However, the mechanisms mediating their emergence and subsequent refinement remain poorly understood in general. Here, we demonstrate that correlated neural activity allows for the emergence of an invariant representation of natural communication stimuli that is further refined across successive stages of processing in the weakly electric fish Apteronotus leptorhynchus. Importantly, different patterns of input resulting from the same natural communication stimulus occurring in different contexts all gave rise to similar behavioral responses. Our results thus reveal how a generic neural circuit performs an elegant computation that mediates the emergence and refinement of an invariant neural representation of natural stimuli that most likely constitutes a neural correlate of perception.

Indexed as

Animal CommunicationBehavior, AnimalElectromagnetic FieldsPerceptionAnimalsElectric FishGymnotiformesApteronotus leptorhynchuscomputational biologyelectrosensoryneurosciencesystems biologyweakly electric fish

Identifiers

PMID27128376
PMCPMC4851552

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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.