Evidence map›Paper›PMID 29775823›Full record

ReviewCurrent opinion in neurobiology2018

Plasticity of population coding in primary sensory cortex.

Amy M LeMessurier, Daniel E Feldman

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. FosGFP expression does not capture a sensory learning-related engram in superficial layers of mouse barrel cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Learning nonnative speech sounds changes local encoding in the adult human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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.

Amy M LeMessurierDepartment of Molecular & Cell Biology, Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720-3200, United States.
Daniel E FeldmanDepartment of Molecular & Cell Biology, Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720-3200, United States. Electronic address: dfeldman@berkeley.edu.

Funding

Microscale organization and sensory coding in L2_3 of mouse somatosensory cortexR37NS092367 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI FELDMAN, DANIEL · 2015 to 2021
$2.8M
Rapid inhibitory circuit plasticity as a homeostatic mechanism in cerebral cortexR01NS105333 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI FELDMAN, DANIEL · 2018 to 2022
$1.7M
NINDS NIH HHS R01 NS105333NINDS NIH HHS R37 NS092367
6 · The paper itself

Abstract

That experience shapes sensory tuning in primary sensory cortex is well understood. But effective neural population codes depend on more than just sensory tuning. Recent population imaging and recording studies have characterized population codes in sensory cortex, and tracked how they change with sensory manipulations and training on perceptual learning tasks. These studies confirm sensory tuning changes, but also reveal other features of plasticity, including sensory gain modulation, restructuring of firing correlations, and differential routing of information to output pathways. Unexpectedly strong day-to-day variation exists in single-neuron sensory tuning, which stabilizes during learning. These are novel dimensions of plasticity in sensory cortex, which refine population codes during learning, but whose mechanisms are unknown.

Indexed as

AnimalsHumansLearningNeuronal PlasticityNeuronsPerceptionSensorimotor Cortex

Identifiers

PMID29775823
PMCPMC7211502

What OpenQuestion holds

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Registered trials

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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.