This MATLAB project generates a synthetic dataset of regions-of-interests (ROIs) and their functional activity. The goal is to analyze ROI shapes and activity between sessions using principal component analysis (PCA) and a dimensionality score.
The example scripts (main file and utils) are used to:
- Compute a PCA-based similarity metric for ROI shapes across days
- Match real and shuffled ROIs across 8 simulated days
- Estimate ROI functional dimensionality
- Plot the results
MATLAB 2022b Signal Processing Toolbox
For dimensionality metric:
- Litwin-Kumar, A. et al. (2017) Optimal degrees of synaptic connectivity. Neuron, 93, 1153-1164.