KFTools is a Python library for Python-based analyses of fNIRS and
EEG data from the Kernel Flow system.
Please note that the code here is still very preliminary, under active development, and subject to substantial change.
As one of the first scientific groups undertaking new research projects with the Kernel Flow system, it became quickly apparent that establishing a wider user community will be one of the best routes to rapid and effective progress for all concerned.
As open source and open science advocates, we have elected to pursue a ‘fully open’ and public development approach here. A chief motivation behind this is to bring in contributors and collaborators who are interested in working together to move things forward more quickly that any of us would be able to individually. So, if you are interested in getting involved, don’t hesitate to reach out to John ( j dot davidgriffiths at gmail dot com ), or just introduce yourself via an issue.
The objective of KFTools is to act as a set of thin wrappers on
actual analysis software. It is Python-based, with a sprinkling of
Matlab here and there. The wrapper functions do a few useful data
organization things, and have some useful expectiations / knowledge
about file structures, experiment types, event coding conventions, etc.
The KFTools functions are mostly based on two established and
best-in-class neuroimaging anaysis libraries: MNE (and especially
mne-nirs), and Nilearn. There is also some Homer3 analysis
functionality.
There are three main components to the code base:
doc folder - Documentation pages text and organizationkftools folder - The importable python libraryexamples folder - Example usage scripts that become the gallery
items in the CI-managed sphinx gallery site