ml4fmri 0.1.0

Machine learning models for fMRI classification

ml4fmri

This repo contains implementation of several deep learning models for fMRI data analysis, gathered and packaged together for the ease of experimentation. Originally based on the codebase behind the NeuroImage paper "A simple but tough-to-beat baseline for fMRI time-series classification".

TODO: Explain how to use, add tutorials. Add polyssifier-like functionality.

Use example

pip install ml4fmri

# in python, get fMRI time series data in shape (samples, time, n_features)
# and labels in shape (samples) (binary or multiclass)
from ml4fmri import cvbench # runs CV experiments with implemented models on the given data
report = cvbench(data, labels, models='all', n_folds=5)
report.plot_scores()