Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
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Updated
Dec 5, 2018 - MATLAB
Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
🐀🧠Using Convolutional Neural Networks to Predict fMRI Noise in Rats
The HCP Pipelines product is a set of tools (primarily, but not exclusively, python3) for processing MRI image using Nipy. This repository is based on the original HPC preprocessing pipeline
Code to run and analyse of audiovisual/attention 7T experiment
Using computational tools to explore the networks underlying cognitive neuroscience
fMRI-Preprocessing pipeline used for [Guillon et al., 2019]
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
Command line automation of SPM
Implementation of LSTM and CNN models for classification of visual stimuli from fMRI data on BOLD5000 dataset
Analysis scripts and movie annotations for NNDb
Collection of Plugins for PyNIPT project
preprocessing and statistical analysis for mouse MRI.
A collection of python scripts and functions to (po)st(p)rocess fmridata, preprocessed with fmriprep
Python library for setting up FEAT analyses (FSL)
Portfolio assignments mainly focused on how the general linear model (GLM) can be used for the analysis of brain scan data. 2019 spring semester at Aarhus University
Scripts for comparing different fmriprep denoising approaches on quality control functional connectivity (QC-FC) motion, QC-FC distance-dependence, and temporal degree of freedom loss.
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
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