Evidence map›Paper›PMID 28863136›Full record

ArticlePLoS computational biology2017

Differential receptive field organizations give rise to nearly identical neural correlations across three parallel sensory maps in weakly electric fish.

Volker Hofmann, Maurice J Chacron

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  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. Article
  11. Article
  12. Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019
    Article
  13. Article
  14. Review
  15. Article
  16. 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

2 authors.

Volker HofmannDepartment of Physiology, McGill University, McIntyre Medical Building, Montreal, Québec, Canada.ORCID http://orcid.org/0000-0002-5149-603X
Maurice J ChacronDepartment of Physiology, McGill University, McIntyre Medical Building, Montreal, Québec, Canada.ORCID http://orcid.org/0000-0002-3032-452X

Funding

CIHR 126181-1CIHR 71094-1CIHR 82838-1CIHR 83338-2
6 · The paper itself

Abstract

Understanding how neural populations encode sensory information thereby leading to perception and behavior (i.e., the neural code) remains an important problem in neuroscience. When investigating the neural code, one must take into account the fact that neural activities are not independent but are actually correlated with one another. Such correlations are seen ubiquitously and have a strong impact on neural coding. Here we investigated how differences in the antagonistic center-surround receptive field (RF) organization across three parallel sensory maps influence correlations between the activities of electrosensory pyramidal neurons. Using a model based on known anatomical differences in receptive field center size and overlap, we initially predicted large differences in correlated activity across the maps. However, in vivo electrophysiological recordings showed that, contrary to modeling predictions, electrosensory pyramidal neurons across all three segments displayed nearly identical correlations. To explain this surprising result, we incorporated the effects of RF surround in our model. By systematically varying both the RF surround gain and size relative to that of the RF center, we found that multiple RF structures gave rise to similar levels of correlation. In particular, incorporating known physiological differences in RF structure between the three maps in our model gave rise to similar levels of correlation. Our results show that RF center overlap alone does not determine correlations which has important implications for understanding how RF structure influences correlated neural activity.

Indexed as

AnimalsComputational BiologyElectric FishElectrophysiological PhenomenaModels, NeurologicalPyramidal Cells

Identifiers

PMID28863136
PMCPMC5599069

What OpenQuestion holds

Textmetadata
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.