Evidence map›Paper›PMID 28530225›Full record

ArticleNature communications2017

A canonical neural mechanism for behavioral variability.

Ran Darshan, William E Wood, Susan Peters, Arthur Leblois, David Hansel

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Reward-driven adaptation of movements requires strong recurrent basal ganglia-cortical loops.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Towards personalized precision functional mapping in infancy.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  8. Babbling opens the sensory phase for imitative vocal learning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

5 authors.

Ran DarshanELSC, The Hebrew University of Jerusalem, Israel, Edmond Jacob Safra Campus, Givat Ram 91904, Jerusalem.
William E WoodCenter for Neurophysics, Physiology and Pathology, Cerebral Dynamics, Learning and Memory Lab, CNRS-UMR8119 and University Paris Descartes, 45 Rue des Saints Pères, Paris 75270, France.
Susan PetersTrinity College of Arts and Sciences, Duke University, Durham, North Carolina 27708, USA.
Arthur LebloisCenter for Neurophysics, Physiology and Pathology, Cerebral Dynamics, Learning and Memory Lab, CNRS-UMR8119 and University Paris Descartes, 45 Rue des Saints Pères, Paris 75270, France.
David HanselCenter for Neurophysics, Physiology and Pathology, Cerebral Dynamics, Learning and Memory Lab, CNRS-UMR8119 and University Paris Descartes, 45 Rue des Saints Pères, Paris 75270, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to generate variable movements is essential for learning and adjusting complex behaviours. This variability has been linked to the temporal irregularity of neuronal activity in the central nervous system. However, how neuronal irregularity actually translates into behavioural variability is unclear. Here we combine modelling, electrophysiological and behavioural studies to address this issue. We demonstrate that a model circuit comprising topographically organized and strongly recurrent neural networks can autonomously generate irregular motor behaviours. Simultaneous recordings of neurons in singing finches reveal that neural correlations increase across the circuit driving song variability, in agreement with the model predictions. Analysing behavioural data, we find remarkable similarities in the babbling statistics of 5-6-month-old human infants and juveniles from three songbird species and show that our model naturally accounts for these 'universal' statistics.

Indexed as

Nerve NetAnimalsCanariesCentral Nervous SystemFemaleFinchesHumansInfantLearningMaleModels, NeurologicalMotor SkillsNeural PathwaysNeuronsSparrowsVerbal Behavior

Identifiers

PMID28530225
PMCPMC5458148

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.