This reading list is centered around the practical application of linear dynamical systems models to predict neural data
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Updated
Dec 1, 2021 - Shell
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
Ironsmith is a comprehensive, fully automated pipeline for creating and processing Quantitative Susceptibility Maps (QSM), extracting QSM based iron concentrations from subcortical and cortical brain regions and evaluating the quality of QSM data using SNR measures and assessment of outlier regions on phase images.
Generate a package-manager-friendly mouse brain atlases collection.
Data and tools from the publication "Evolution of Cortical Geometry and its Link to Function, Behaviour and Ecology" by Schwartz et al. for mapping values defined on cortical surfaces between species based on their phylogenetic relationship
A Python distribution for neuroscience based on conda 🧠🐍
A modified FSL version for use with Slurm
Scripts related to "Longitudinal changes of ADHD symptoms in association with white matter microstructure: A tract-specific fixel-based analysis"
A sample neuroimaging pipeline for the fMRI data collected by the Aging Brain Cohort.
The idea behind this website is to make available all the resources I have gathered/created over the years make other people's life easier.
Scripts related to "White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals"
Pipeline for Cortical and Subcortical SC and FC
Common Docker Image for the Dosenbach and Greene Labs
Scripts related to "Associations between attention-deficit hyperactivity disorder (ADHD) symptom remission and white matter microstructure: A longitudinal analysis"
Pipeline computing volumes statistics for different brain lobes according to a atlas.
Shell scripts pipelines to create DTI templates
Scripts and pipeline for the handling of scripts from DICOMS to 4DFP and then analysis.
A simple script to deface (with use of fsl_deface) multiple T1/T2-weighetned files prepared according to the BIDS standard.
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