Evidence map›Paper›PMID 27397518›Full record

ArticleNeuron2016

A Distributed Recurrent Network Contributes to Temporally Precise Vocalizations.

Kosuke Hamaguchi, Masashi Tanaka, Richard Mooney

Abstract read
In one paragraph

Article in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
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  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Birdsong.Current biology : CB · 2022
    Article
  16. Article
  17. A feedforward inhibitory premotor circuit for auditory-vocal interactions in zebra finches.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors.

Kosuke HamaguchiDepartment of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA.
Masashi TanakaDepartment of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA.
Richard MooneyDepartment of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: mooney@neuro.duke.edu.

Funding

SYNAPTIC AND CELLULAR MECHANISMS OF AVIAN SONG LEARNINGR01DC002524 · NIDCD · DUKE UNIVERSITY · PI MOONEY, RICHARD D · 1995 to 2014
$4.1M
Miniature Microdrive for Intracellular Recordings in Freely Behaving MiceR21NS079929 · NINDS · DUKE UNIVERSITY · PI MOONEY, RICHARD D · 2012 to 2013
$376k
NIDCD NIH HHS R01 DC002524NINDS NIH HHS R21 NS079929
6 · The paper itself

Abstract

How do forebrain and brainstem circuits interact to produce temporally precise and reproducible behaviors? Birdsong is an elaborate, temporally precise, and stereotyped vocal behavior controlled by a network of forebrain and brainstem nuclei. An influential idea is that song premotor neurons in a forebrain nucleus (HVC) form a synaptic chain that dictates song timing in a top-down manner. Here we combine physiological, dynamical, and computational methods to show that song timing is not generated solely by a mechanism localized to HVC but instead is the product of a distributed and recurrent synaptic network spanning the forebrain and brainstem, of which HVC is a component.

Indexed as

AnimalsBrain StemCold TemperatureFinchesHigh Vocal CenterMaleModels, NeurologicalNeural PathwaysProsencephalonTime FactorsVocalization, Animal

Identifiers

PMID27397518
PMCPMC4975959

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.