Evidence map›Paper›PMID 26618871›Full record

ArticleNature2015

Growth and splitting of neural sequences in songbird vocal development.

Tatsuo S Okubo, Emily L Mackevicius, Hannah L Payne, Galen F Lynch, Michale S Fee

Abstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. The Temporal Organization of Learned Vocal Behavior Is Predicted by Species Rather Than Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Note similarities affect syntactic stability in zebra finches.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A predisposed motor bias shapes individuality in vocal learning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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.

Tatsuo S OkuboMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Emily L MackeviciusMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Hannah L PayneDepartment of Neurobiology, Stanford University, Stanford, California 94305, USA.
Galen F LynchMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Michale S FeeMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Funding

Training in Methods of Computational Neuroscience (MCN)R25MH062204 · NIMH · MARINE BIOLOGICAL LABORATORY · PI Stefano Fusi, Linda E Hyman · 2000 to 2026
$4.5M
Neuronal Mechanisms of Motor Exploration in the SongbirdR01DC009183 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEE, MICHALE S · 2008 to 2017
$3.1M
NIDCD NIH HHS R01 DC009183NIDCD NIH HHS R01DC009183NIMH NIH HHS R25MH062204
6 · The paper itself

Abstract

Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potential bursts in the premotor cortical area HVC. Here we carried out recordings of large populations of HVC neurons in singing juvenile birds throughout learning to examine the emergence of neural sequences. Early in vocal development, HVC neurons begin producing rhythmic bursts, temporally locked to a 'prototype' syllable. Different neurons are active at different latencies relative to syllable onset to form a continuous sequence. Through development, as new syllables emerge from the prototype syllable, initially highly overlapping burst sequences become increasingly distinct. We propose a mechanistic model in which multiple neural sequences can emerge from the growth and splitting of a common precursor sequence.

Indexed as

Models, NeurologicalAnimalsFinchesLearningMaleMotor CortexNeural PathwaysVocalization, Animal

Identifiers

PMID26618871
PMCPMC4957523

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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.