Following our work on migrating interactive prompts to Click, some shortcomings regarding the current user experience wrt to interactivity surfaced.
Some pipelines provide the caller with the ability to set some parameters in an interactive fashion, which does not play nice with cluster usage where prompts may hang execution indefinitely. One pi
What am I supposed to do with this bunch of JSON files?
The obviously missing piece from this project is part that allows converting the ouput of the app into a human readable method section any researcher can copy into their article.
The goal of this sub-project is to create some prototype scripts to:
extract the relevant content from the JSON files one can download from the web a
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 how connections contribute to specific brain functions.
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
I'm glad to see you as collaborator in this scientific effort to recover this visual data from EEG signal. Here I suggest the list of things to-do for better understanding of the project:
TRAMPOLINO (TRActography Meta-Pipeline cOmmand LINe tOol) is a CLI for brain tractography. It leverages Nipype to offer an immediate way to reconstruct an orientation distribution function, use it to track the streamlines and eventually filter them, all using existing software toolboxes.
Following our work on migrating interactive prompts to Click, some shortcomings regarding the current user experience wrt to interactivity surfaced.
Some pipelines provide the caller with the ability to set some parameters in an interactive fashion, which does not play nice with cluster usage where prompts may hang execution indefinitely. One pi