Evidence map›Paper›PMID 31725714›Full record

ArticlePLoS computational biology2019

Functional diversity among sensory neurons from efficient coding principles.

Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  10. Multielectrode recordings of cockroach antennal lobe neurons in response to temporal dynamics of odor concentrations.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023
    Article
  11. Article
  12. Efficient processing of natural scenes in visual cortex.Frontiers in cellular neuroscience · 2022
    Review
  13. Scene statistics and noise determine the relative arrangement of receptive field mosaics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Article
  15. Article
  16. Nonlinear convergence boosts information coding in circuits with parallel outputs.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. Mice Preferentially Use Increases in Cerebral Cortex Spiking to Detect Changes in Visual Stimuli.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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  19. 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

3 authors.

Julijana GjorgjievaMax Planck Institute for Brain Research, Frankfurt, Germany.ORCID 0000-0001-7118-4079
Markus MeisterDivision of Biology, California Institute of Technology, Pasadena, California, United States of America.ORCID 0000-0003-2136-6506
Haim SompolinskyCenter for Brain Science, Harvard University, Cambridge, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many sensory systems the neural signal is coded by the coordinated response of heterogeneous populations of neurons. What computational benefit does this diversity confer on information processing? We derive an efficient coding framework assuming that neurons have evolved to communicate signals optimally given natural stimulus statistics and metabolic constraints. Incorporating nonlinearities and realistic noise, we study optimal population coding of the same sensory variable using two measures: maximizing the mutual information between stimuli and responses, and minimizing the error incurred by the optimal linear decoder of responses. Our theory is applied to a commonly observed splitting of sensory neurons into ON and OFF that signal stimulus increases or decreases, and to populations of monotonically increasing responses of the same type, ON. Depending on the optimality measure, we make different predictions about how to optimally split a population into ON and OFF, and how to allocate the firing thresholds of individual neurons given realistic stimulus distributions and noise, which accord with certain biases observed experimentally.

Indexed as

Action PotentialsAnimalsBrainHumansModels, NeurologicalModels, TheoreticalNerve NetSensory Receptor Cells

Identifiers

PMID31725714
PMCPMC6890262

What OpenQuestion holds

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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.