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Neural mechanisms of birdsong memory

Bolhuis, Johan J., Gahr, Manfred·2006·Nature Reviews Neuroscience

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  128. Gahr, M. Neural song control system of hummingbirds: comparison to swifts, vocal learning (songbirds) and nonlearning (suboscines) passerines, and vocal learning (budgerigars) and nonlearning (dove, owl, gull, quail, chicken) nonpasserines. J. Comp. Neurol. 426, 182–192 (2000). · doi:10.1002/1096-9861(20001016)426:2<182::aid-cne2>3.0.co;2-m

Cited by

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Metadata

Authors
Bolhuis, J. J., & Gahr, M.
Venue
Nature Reviews Neuroscience
Published
2006-05
Volume
7
Issue
5
Pages
347-357
ISSN
  • 1471-003X (ISSN-L)
  • 1471-0048
OpenAlex
W2026234065
Cited by
374
References
13
FWCI
3.07
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Neural mechanisms of birdsong memory. https://app.cochat.ai/papers/10.1038/nrn1904
The paper
Bolhuis, J. J., & Gahr, M. (2006). Neural mechanisms of birdsong memory. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn1904

Data sources

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.