Eeg

In March 2025, I had an idea for improving quality control in PyLossless. I wanted to bring back being able to review an EEG recording to select independent components, choose a time window, and immediately compare the raw signal against the result of removing those components. It had been done in the previous version in MATLAB, but I was less familiar with the inner working of PyLossless at the time. I was also a complete novice when it came to things like Qt 5, PyQt, and the mne-qt-browser. ...

A MATLAB analysis pipeline can be battle-tested and still be difficult to share. The code can work, but the next platform may have the wrong MATLAB version, missing dependencies, or no MATLAB installation at all. I put together a small MATLAB container template to show that you don’t necessarily need to rewrite the analysis to solve this. MATLAB supports compiling a standalone application and packaging it as a Docker image. The deployed application runs with MATLAB Runtime rather than a full MATLAB installation. ...

Starting an EEG study means making dozens of small decisions. Where will the original recordings live? How will they become a BIDS dataset? Which software environment will the study use? Where does preprocessing end and analysis begin? A student has to answer these questions before they’ve had enough experience to know what the consequences will be. Their supervisor then has to review those answers, remember what everyone decided, and figure out whether the project can still be reproduced two years later. ...

In April 2025, I wanted to put PyLossless on the DRAC clusters as an official module. I had at least half a dozen datasets to clean, and I was still managing many projects with separate virtual environments. Reinstalling the same preprocessing package for every dataset made no sense. It turned out that PyLossless was already available as a module. When I asked the internal team to update it, they gave me a list of changes they wanted first, especially if I planned to develop it myself. That request turned into active stewardship of the project and, eventually, co-ownership of its official repository. ...