Data from: Juvenile zebra finch syllables for data-driven analysis of development

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Learning skilled behaviors requires intensive practice over days, months, or years. Behavioral hallmarks of practice include exploratory variation and long-term improvements, both of which can be impacted by circadian processes. During weeks of vocal practice, the juvenile male zebra finch transforms highly variable and simple song into a stable and precise copy of an adult tutor's complex song. Song variability and performance in juvenile finches also exhibit circadian structure that could influence this long-term learning process. In fact, one influential study reported juvenile song regresses towards immature performance overnight, while another suggested a more complex pattern of overnight change. However, neither of these studies thoroughly examined how circadian patterns of variability may structure the production of more or less mature songs. Here we relate the circadian dynamics of song maturation to circadian patterns of song variation, leveraging a combination of data-driven approaches. In particular we analyze juvenile singing in learned feature space that supports both data-driven measures of song maturity and generative developmental models of song production. These models reveal that circadian fluctuations in variability lead to especially regressive morning variants even without overall overnight regression, and highlight the utility of data-driven generative models for untangling these contributions. ... [Read More]

Data Citation

Brudner, S., Pearson, J., Mooney, R. (2022). Data from: Juvenile zebra finch syllables for data-driven analysis of development. Duke Research Data Repository. https://doi.org/10.7924/r4j38x43h

Creator: Brudner, Samuel
Mooney, Richard
Pearson, John
DOI: 10.7924/r4j38x43h
Subject: Motor learning
Behavioral assessment
Publication Date: December 5, 2022
ARK: ark:/87924/r4j38x43h
Affiliation: Neurobiology
Biostatistics & Bioinformatics
Publisher: Duke Research Data Repository
Collection Dates: October 2019 - January 2021
Type: Dataset
Format: CSV
PT (pytorch binary)
MAT
WAV
HDF5
Funding Agency: NIH
Grant Number: NIH 1RF1NS118424
NIH 5R01NS099288
Contact: Richard Mooney, mooney@neuro.duke.edu
License: Creative Commons CC0 1.0 Universal
Title: Data from: Juvenile zebra finch syllables for data-driven analysis of development
License: http://creativecommons.org/publicdomain/zero/1.0/
Repository: Duke Research Data Repository

Title	Date Uploaded	Visibility	Actions
dataDocumentation.txt	2022-12-05	Public	Download
grn394_hatchdate.mat	2022-12-05	Public	Download
grn394_proj.zip	2022-12-05	Public	Download
grn394_raw_wav.zip	2022-12-05	Public	Get file from Globus
grn394_segs.zip	2022-12-05	Public	Download
grn394_specs.zip	2022-12-05	Public	Get file from Globus
grn394_table.mat	2022-12-05	Public	Download
grn395_hatchdate.mat	2022-12-05	Public	Download
grn395_proj.zip	2022-12-05	Public	Download
grn395_raw_wav.zip	2022-12-05	Public	Get file from Globus

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