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Load and model the brain data of the Algonauts Project 2023 Challenge.
This is the repository for the research project about the Generalized Procrustes Analysis using spatial anatomical information in fMRI data, i.e., the ProMises (Procrustes von Mises-Fisher) model
BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing.
Application of Fully Connected Neural Networks (FCNs) & Graphical Convolutional Neural Networks (GCNs) using pytorch to fmri movie data
Semi-blind deconvolution for fMRI (BOLD signal)
A collection of python scripts and functions to (po)st(p)rocess fmridata, preprocessed with fmriprep
Code for the analyses of our fMRI mind-reading study
The work I have done while doing my Internship at METU CENG ImageLab
Covariance prediction in the context of applying causality frameworks (potential outcomes) to fMRI sleep data to explore brain connectivity.