Here are
18 public repositories
matching this topic...
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Updated
Apr 12, 2022
Python
micapipe from the Multimodal imaging and connectome analysis lab (
http://mica-mni.github.io ) at the Montreal Neurological Institute. Read The Docs documentation below
Updated
Jun 30, 2022
Shell
Collection of Matlab functions for denoising fMRI data
Updated
Oct 6, 2021
MATLAB
A Matlab-based software package for preprocessing the resting-state fMRI data
Updated
Sep 13, 2021
MATLAB
MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity
Updated
Nov 2, 2018
MATLAB
Code used for research project. Our objective is to identify people based on patterns of brain connectivity (as indexed by MEG) using Deep Learning and other linear methods
Updated
Aug 12, 2021
Jupyter Notebook
This toolbox enables to automatically preprocess and analyze resting-state Biosemi EEG files, relying on the EEGLAB software and additional toolboxes.
Updated
Mar 28, 2022
MATLAB
scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs
Updated
Feb 16, 2022
Jupyter Notebook
This repo contains preprocessing scripts used in the lab, organized (mainly) by imaging modality.
Updated
Mar 24, 2022
Jupyter Notebook
Matlab code and tutorial for computing modular dissociation (MD) from connectivity matrices
Updated
Nov 10, 2018
MATLAB
Global brain connectivity pattern analysis
Updated
Apr 1, 2016
Python
time-frequency analysis for EEG
Updated
Apr 19, 2022
MATLAB
Leading Eigenvector Dynamics Analysis Matlab Toolbox
Updated
Jun 1, 2022
MATLAB
A Quality Control database for the HCP resting-state scans
Scorepochs: a computer aided scoring tool for resting-state M/EEG epochs
Updated
Feb 16, 2022
MATLAB
Standardized Resting-State Paradigm
Updated
Jul 5, 2022
JavaScript
Frequency analysis for resting-state EEG data.
Updated
May 4, 2022
MATLAB
Code for pre-print "The Ubiquitous Vigilance Signal in fMRI Time Series Data"
Updated
Jun 21, 2022
Jupyter Notebook
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