Evidence map›Paper›PMID 25825717›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Coding of envelopes by correlated but not single-neuron activity requires neural variability.

Michael G Metzen, Mohsen Jamali, Jérome Carriot, Oscar Ávila-Ǻkerberg, Kathleen E Cullen, Maurice J Chacron

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Type I hair cells of striolar and central zones in vestibular organs are essential for head stability and postural control.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. High-Pass Filtering through Short-Term Synaptic Facilitation Amplifies Low-Frequency Modulation of Bursting Input.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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. Review
  11. Differentially synchronized spiking enables multiplexed neural coding.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Michael G MetzenDepartment of Physiology, McGill University, Montréal, Québec, Canada H3G1Y6; and.
Mohsen JamaliDepartment of Physiology, McGill University, Montréal, Québec, Canada H3G1Y6; and.
Jérome CarriotDepartment of Physiology, McGill University, Montréal, Québec, Canada H3G1Y6; and.
Oscar Ávila-ǺkerbergDepartment of Physics, McGill University, Montréal, Québec, Canada H3A2T8.
Kathleen E CullenDepartment of Physiology, McGill University, Montréal, Québec, Canada H3G1Y6; and.
Maurice J ChacronDepartment of Physiology, McGill University, Montréal, Québec, Canada H3G1Y6; and Department of Physics, McGill University, Montréal, Québec, Canada H3A2T8 maurice.chacron@mcgill.ca.

Funding

The Physiology of Vestibular CompensationR01DC002390 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Kathleen E Cullen · 1995 to 2026
$10.7M
CIHR 126181-1CIHR 83338-1CIHR 83338-2NIDCD NIH HHS R01 DC002390
6 · The paper itself

Abstract

Understanding how the brain processes sensory information is often complicated by the fact that neurons exhibit trial-to-trial variability in their responses to stimuli. Indeed, the role of variability in sensory coding is still highly debated. Here, we examined how variability influences neural responses to naturalistic stimuli consisting of a fast time-varying waveform (i.e., carrier or first order) whose amplitude (i.e., envelope or second order) varies more slowly. Recordings were made from fish electrosensory and monkey vestibular sensory neurons. In both systems, we show that correlated but not single-neuron activity can provide detailed information about second-order stimulus features. Using a simple mathematical model, we made the strong prediction that such correlation-based coding of envelopes requires neural variability. Strikingly, the performance of correlated activity at predicting the envelope was similarly optimally tuned to a nonzero level of variability in both systems, thereby confirming this prediction. Finally, we show that second-order sensory information can only be decoded if one takes into account joint statistics when combining neural activities. Our results thus show that correlated but not single-neural activity can transmit information about the envelope, that such transmission requires neural variability, and that this information can be decoded. We suggest that envelope coding by correlated activity is a general feature of sensory processing that will be found across species and systems.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputer SimulationElectric OrganElectric StimulationGymnotiformesMacaca fascicularisMaleNeuronsSensory Receptor CellsSingle-Cell AnalysisVestibular Nervecorrelationelectrosensoryenvelopeneural codingvestibular

Identifiers

PMID25825717
PMCPMC4403158

What OpenQuestion holds

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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.