Evidence map›Paper›PMID 21940609›Full record

ArticleJournal of neurophysiology2011

Sparse and dense coding of natural stimuli by distinct midbrain neuron subpopulations in weakly electric fish.

Katrin Vonderschen, Maurice J Chacron

Erratum issuedAbstract read
In one paragraph

Article in Journal of neurophysiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 83 citations in OpenAlex.

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

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Katrin VonderschenDepartment of Physiology, McGill University, Montreal, Quebec, Canada.
Maurice J Chacron
McGill University · CA

Funding

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

Abstract

While peripheral sensory neurons respond to natural stimuli with a broad range of spatiotemporal frequencies, central neurons instead respond sparsely to specific features in general. The nonlinear transformations leading to this emergent selectivity are not well understood. Here we characterized how the neural representation of stimuli changes across successive brain areas, using the electrosensory system of weakly electric fish as a model system. We found that midbrain torus semicircularis (TS) neurons were on average more selective in their responses than hindbrain electrosensory lateral line lobe (ELL) neurons. Further analysis revealed two categories of TS neurons: dense coding TS neurons that were ELL-like and sparse coding TS neurons that displayed selective responses. These neurons in general responded to preferred stimuli with few spikes and were mostly silent for other stimuli. We further investigated whether information about stimulus attributes was contained in the activities of ELL and TS neurons. To do so, we used a spike train metric to quantify how well stimuli could be discriminated based on spiking responses. We found that sparse coding TS neurons performed poorly even when their activities were combined compared with ELL and dense coding TS neurons. In contrast, combining the activities of as few as 12 dense coding TS neurons could lead to optimal discrimination. On the other hand, sparse coding TS neurons were better detectors of whether their preferred stimulus occurred compared with either dense coding TS or ELL neurons. Our results therefore suggest that the TS implements parallel detection and estimation of sensory input.

Indexed as

Action PotentialsAnimalsBiophysicsComputer SimulationElectric FishElectric StimulationEnvironmentFemaleMaleMesencephalonModels, NeurologicalMovementNeuronsNormal DistributionPatch-Clamp TechniquesReaction Time

Identifiers

PMID21940609
PMCPMC4535167
OpenAlexW2319661532

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.