aot-analysis

Data analysis code for the Arrow of Time project, an initiative to produce a large-scale movie-watching fMRI dataset.

The work in this repo was conducted in the scope of my master's thesis project at the Spinoza Centre for Neuroimaging under the supervision of Dr. Tomas Knapen.

Setup

• Clone the repository
• Open a terminal and navigate to the root of this repository
• Run conda env create -f environment.yml
• The code of this repo will be installed in your conda environment as aot_analysis
• Activate the environment via conda activate aot_analysis
• Change the paths in config.yml

Structure

The package is structured by modeling framework. The three implemented frameworks are described below. After fitting, the results are analyzed and visualized in notebooks.

glmsingle

Fitting single-trial response amplitudes using the GLMsingle package.

Intended execution order:

• fit
• visualize

prf

Fitting population receptive fields using the prfpy package.

Intended execution order:

• create design matrices
• fit
• visualize

motion_energy

Fitting a motion energy model using the pymoten package.

Intended execution order:

• extract motion energy features
• fit
• visualize