Collection of scripts for resting-state fMRI analysis
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Updated
Mar 20, 2014 - Python
Collection of scripts for resting-state fMRI analysis
BIDS App for resting state signal extraction using nilearn.
WARNING: This is just the results and scripts for analysis (GP system is a variation of jGPv9). A project using genetic programming to perform symbolic regression on fMRI data. There is a need for this because typical approaches use only linear regression. This is bad because the breain is a nonlinear system, and a linear model of a nonlinear sy…
Functional alignment of fMRI data with Monge-Lantorovich. Can aligh fMRI data from seperate scans. Can be done intra or inter subject too.
The over connectivity toolbox inspired by OHBM 2017
Python implementation of STATIS for analysis of several data tables
Contrast Optimized Stimulation generator
Experiments with using total variation regularization on the ABIDE fmri dataset.
inter-subject similarity/correlation
A Python implementation of the activation likelihood estimation (ALE) meta-analytic algorithm. Deprecated in favor of NiMARE.
This piece of code synchronizes your experiment to the MR scanner at the GifMI (UZ Gent)
" Spatially constrained clustering, using a sparse + low rank tv regularised factorization" Benichoux, A. and Blumensath, T. (2014)
A set of tools to evaluate the reproducibility of computations
PychoPy implementation of n-back, and facename fMRI tasks
An extensible fMRI Preprocessing Pipeline in nipype based on a 2015 Jonathan Power Pipeline
PyHRF is a set of tools to analyze fMRI data and specifically study hemodynamics.
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