Cited by 64Animal Vocal Communication and BehaviorNeuroscience and Music PerceptionMemory and Neural Mechanisms

Two distinct modes of forebrain circuit dynamics underlie temporal patterning in the vocalizations of young songbirds

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Aronov, Dmitriy, Veit, Lena, Goldberg, Jesse H., Fee, Michale S.·2011·The Journal of Neuroscience

Abstract

Accurate timing is a critical aspect of motor control, yet the temporal structure of many mature behaviors emerges during learning from highly variable exploratory actions. How does a developing brain acquire the precise control of timing in behavioral sequences? To investigate the development of timing, we analyzed the songs of young juvenile zebra finches. These highly variable vocalizations, akin to human babbling, gradually develop into temporally stereotyped adult songs. We find that the durations of syllables and silences in juvenile singing are formed by a mixture of two distinct modes of timing: a random mode producing broadly distributed durations early in development, and a stereotyped mode underlying the gradual emergence of stereotyped durations. Using lesions, inactivations, and localized brain cooling, we investigated the roles of neural dynamics within two premotor cortical areas in the production of these temporal modes. We find that LMAN (lateral magnocellular nucleus of the nidopallium) is required specifically for the generation of the random mode of timing and that mild cooling of LMAN causes an increase in the durations produced by this mode. On the contrary, HVC (used as a proper name) is required specifically for producing the stereotyped mode of timing, and its cooling causes a slowing of all stereotyped components. These results show that two neural pathways contribute to the timing of juvenile songs and suggest an interesting organization in the forebrain, whereby different brain areas are specialized for the production of distinct forms of neural dynamics.

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Crossref · 10.1523/jneurosci.3009-11.2011

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  • Birdsong learning is driven by reinforcement learning using a specialized cost function that relies on comparison with a memorized version of a tutor's song, and it involves specialized structures for controlling song variability during learning.

    “Likewise, it is believed that birdsong learning is driven by reinforcement learning using a specialized cost function that relies on comparison with a memorized version of a tutor's song (Fiete et al., 2007), and also that it involves specialized structures for controlling song variability during learning (Aronov et al., 2011).”

    From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Aronov et al., 2011

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Research works printed but not linked: 5

  1. Abeles M 1991 Corticonics Cambridge University Press
  2. Doya K Sejnowski T Tesauro G Tourezky DS Leen TK 1995 A novel reinforcement model of birdsong vocalization learning Advances in Neural Information Processing Systems Cambridge, MA MIT Press 101 108
  3. Immelmann K Hinde RA 1969 Song development in the zebra finch and other estrildid finches Bird vocalizations Cambridge University Press 61 74
  4. Lashley KS Jeffress LA 1951 The problem of serial order in behavior Cerebral Mechanisms in Behavior Wiley 112 136
  5. Wilson HR 1999 Spikes, decisions, and actions Oxford University Press

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Authors
Aronov, D., Veit, L., Goldberg, J. H., & Fee, M. S.
Affiliations
McGovern Institute for Brain Research (US)
Corresponding author
Fee, Michale S.
Venue
The Journal of Neuroscience
Published
2011-11-09
Volume
31
Issue
45
Pages
16353-16368
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2058495600
Cited by
64
References
64
Citations by year
2026: 3 · 2025: 3 · 2024: 9 · 2023: 5 · 2022: 1 · 2021: 2 · 2020: 6 · 2019: 3 · 2018: 1 · 2017: 7 · 2016: 5 · 2015: 4 · 2014: 7 · 2013: 3 · 2012: 4
FWCI
3.69
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • Hertz Foundation
  • National Institutes of Health
  • National Institute on Deafness and Other Communication Disorders (R01DC009183)
  • National Institute of Neurological Disorders and Stroke (K99NS067062)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
zebra finch, syllable duration, HVC, premotor cortex, neural dynamics, brain cooling, song learning
MeSH terms
Animals, Behavior, Animal, Computer Simulation, Male, Models, Neurological, Nerve Net, Neural Pathways, Respiration, Sound Spectrography, Spectrum Analysis, Stereotyped Behavior, Time Factors, Time Perception, Vocalization, Animal, Prosencephalon, Nonlinear Dynamics, Songbirds

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