Overview

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.

Installation

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.

Analytics Architecture

Explore the complete analysis workflow with our Interactive Flowchart with collapsible sections for detailed exploration

Tutorials

Data Availability

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:

Processed data used for Individual Analysis and Population Analysis is available at: