PNH segmentation pipelines based on nipype
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Updated
Nov 7, 2024 - Python
PNH segmentation pipelines based on nipype
Neuroscience Lab Assignments related to various aspects of neuroscience research, including visual search tasks with Psychtoolbox, regression and ANOVA analysis, EEG preprocessing with EEGLab, and fMRI analysis with AFNI.
Convenience functions for the LNCD. Includes db query, data processing, modeling, and visualizing
Various scripts (Bash, Matlab, Python) for processing ASL MRI data using AFNI, SPM, and FSL.
runs AFNI's 3dQwarp function over a NIfTI file
A Matlab-based software package for preprocessing the resting-state fMRI data
Preprocessing fMRI scans, localizing the brain area that processes faces.
afniGLMprep is python code which prepares and runs GLMs on neuroimaging data stored in the BIDS format (http://bids.neuroimaging.io/). This is done via AFNI's 3dDeconvolve function.
job advert **not currently on offer**
Scripts to process preclinical obsessive compulsive disorder data
batch scripts to install afni, tailored to the process for installing in ubuntu on windows subsystem for linux.
An extensible fMRI Preprocessing Pipeline in nipype based on a 2015 Jonathan Power Pipeline
Docker image that provides a Ubuntu 16.04 (Xenial) with all CMP pre-requisite software installed
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