Evidence map›Paper›PMID 18256161›Full record

ArticleJournal of neurophysiology2008

Population coding by electrosensory neurons.

Maurice J Chacron, Joseph Bastian

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  10. Article
  11. Article
  12. Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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 at 1 institution in 1 country.

Maurice J ChacronDepartment of Zoology, University of Oklahoma, Norman, Oklahoma, USA.
Joseph Bastian
University of Oklahoma · US

Funding

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

Abstract

Sensory stimuli typically activate many receptors at once and therefore should lead to increases in correlated activity among central neurons. Such correlated activity could be a critical feature in the encoding and decoding of information in central circuits. Here we characterize correlated activity in response to two biologically relevant classes of sensory stimuli in the primary electrosensory nuclei, the electrosensory lateral line lobe, of the weakly electric fish Apteronotus leptorhynchus. Our results show that these neurons can display significant correlations in their baseline activities that depend on the amount of receptive field overlap. A detailed analysis of spike trains revealed that correlated activity resulted predominantly from a tendency to fire synchronous or anti-synchronous bursts of spikes. We also explored how different stimulation protocols affected correlated activity: while prey-like stimuli increased correlated activity, conspecific-like stimuli decreased correlated activity. We also computed the correlations between the variabilities of each neuron to repeated presentations of the same stimulus (noise correlations) and found lower amounts of noise correlation for communication stimuli. Therefore the decrease in correlated activity seen with communication stimuli is caused at least in part by reduced noise correlations. This differential modulation in correlated activity occurred because of changes in burst firing at the individual neuron level. Our results show that different categories of behaviorally relevant input will differentially affect correlated activity. In particular, we show that the number of correlated bursts within a given time window could be used by postsynaptic neurons to distinguish between both stimulus categories.

Indexed as

AlgorithmsAnimalsData Interpretation, StatisticalElectric FishElectric OrganElectric StimulationElectrophysiologyEvoked PotentialsFeedbackIn Vitro TechniquesLateral Line SystemMicroelectrodesMotor NeuronsNeurons, AfferentPredatory BehaviorPyramidal Cells

Identifiers

PMID18256161
PMCPMC4844541
OpenAlexW2171416144

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.