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Cited by 497

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Dynamics of the Vocal Imitation Process: How a Zebra Finch Learns Its Song

Tchernichovski, Ofer, Mitra, Partha P., Lints, Thierry, Nottebohm, Fernando·2001·Science

Abstract

Song imitation in birds provides good material for studying the basic biology of vocal learning. Techniques were developed for inducing the rapid onset of song imitation in young zebra finches and for tracking trajectories of vocal change over a 7-week period until a match to a model song was achieved. Exposure to a model song induced the prompt generation of repeated structured sounds (prototypes) followed by a slow transition from repetitive to serial delivery of syllables. Tracking this transition revealed two phenomena: (i) Imitations of dissimilar sounds can emerge from successive renditions of the same prototype, and (ii) developmental trajectories for some sounds followed paths of increasing acoustic mismatch until an abrupt correction occurred by period doubling. These dynamics are likely to reflect underlying neural and articulatory constraints on the production and imitation of sounds.

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Crossref · 10.1126/science.1058522

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Metadata

Authors
Tchernichovski, O., Mitra, P. P., Lints, T., & Nottebohm, F.
Venue
Science
Published
2001-03-30
Volume
291
Issue
5513
Pages
2564-2569
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2045488261
Cited by
497
References
1
FWCI
17.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamics of the Vocal Imitation Process: How a Zebra Finch Learns Its Song. https://app.cochat.ai/papers/10.1126/science.1058522
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Tchernichovski, O., Mitra, P. P., Lints, T., & Nottebohm, F. (2001). Dynamics of the Vocal Imitation Process: How a Zebra Finch Learns Its Song. Science. https://doi.org/10.1126/science.1058522

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.