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Materials from fMRI data analysis course for cognitive science students.
Open-Source Python Software for Functional MRI Analysis
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
This is an introductory Python course I am running for the 2024 Health and Data Science CDT at Oxford University.
nicholst / BLMM
Forked from TomMaullin/BLMMThis repository contains all code for the BLMM toolbox. It is currently a WIP.
davidmeunier79 / pyplotbrain
Forked from samuelgarcia/pyplotbrainSimple (and naive) tool to plot 3D glass brain in python
davidmeunier79 / pybids
Forked from bids-standard/pybidsPython package to access BIDS datasets
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
kfinc / PyNets
Forked from dPys/PyNetsA Fully-Reproducible Workflow for Network Analysis of Functional and Structural MRI
Some jupyter notebooks for denoising and estimation of functional connectivity
Denoising and visualization tools for functional connectivity data
kfinc / bctpy
Forked from aestrivex/bctpybrain connectivity toolbox for python
Learning and teaching materials on applying machine learning algorithms to fMRI data.
kfinc / nilearn
Forked from nilearn/nilearnMachine learning for NeuroImaging in Python
davidmeunier79 / fctools
Forked from kfinc/fctoolsDenoising and visualization tools for functional connectivity data
Repository containing a code for network analyses of longitudinal working memory training data with multi-session fMRI scanning.
davidmeunier79 / nipype
Forked from nipy/nipypeWorkflows and interfaces for neuroimaging packages
Neuropycon package of functions for electrophysiology analysis, can be used from ephypype and nipype
AnarPy is a Python package to facilitate the simulation, analysis, and replication of several experiments using computational whole brain models. This package is developed and maintained by the Val…
vandal-uv / brainconn
Forked from fiuneuro/brainconnbrain connectivity toolbox for python
functional connectivity between distributed brain regions and networks
capstone project on fMRI functional connectivity
griegner / nilearn
Forked from nilearn/nilearnmachine learning for neuroimaging in python
A toolkit for time series machine learning and deep learning
griegner / aeon
Forked from aeon-toolkit/aeona toolkit for machine learning from time series
multivariate prediction from human brain functional MRI data
Code release for Cole et al. (2021) "The functional relevance of task-state functional connectivity", Journal of Neuroscience
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine h…