This repo demonstrates the entire data processing pipeline used to analyze longitudinal fiber photometry dopamine data synchronized with vocal behaviors in juvenile songbirds.
We show how dopamine signals are aligned to behavioral events and analyzed to reveal how the development trajectory of dopamine transient activity corresponds to temporal-difference learning models.
All analyses and results are fully reproducible and correspond to
those in our manuscript.
To reproduce the analyses, install the following R packages:
require(remotes)
# Install ASAP
remotes::install_github("LXiao06/ASAP")
# Or install local version
remotes::install_local("pkgs/ASAP_0.3.3.tar.gz", dependencies = TRUE)
# Install VNS
remotes::install_github("LXiao06/VocalNeuroSync")
# Or install local version
remotes::install_local("pkgs/VNS_0.0.0.9000.tar.gz", dependencies = TRUE)For details, see the ASAP
GitHub repository and the VocalNeuroSync
repository.
You may need to download the raw or processed data before running individual tutorials. See individual sections for details on required datasets.
Raw data used for Data Processing is available at:
- Duke University Library Research Data Repository (JuvDA directory)
- Publication: doi.org/10.1038/s41586-025-08694-9
Processed data used for Individual Analysis and Population Analysis is available at:
- UT Southwestern Research Data Repository
- Or generated from the raw data using the Data Processing pipeline
- Publication: doi.org/xxxx/xxx