MNE-Python: Interactive Pipeline Controls for MRI Visualization

Hello,
I’m Vlad a second year data science master’s student from Politehnica Bucharest and i wanted to propose a project for gsoc 2026. Unfortunately I missed the deadline by 2 minutes due to the weird gsoc website so I was unable to upload a proposal in time. I thought it was worth it to post it here.
I am particularly passionate about data visualization and due to medical reasons I have seen my fare share of MRIs. As such I chose to propose this project. To summarize it:

Extend the existing MRI time-frequency viewer with interactive controls for upstream pipeline parameters (filtering, epoching, averaging), enabling users to observe how processing choices affect source estimates and MRI-based visualization. Adding interactive sliders and dropdown menus similar to the already implemented time series visualization for 5D MRI viewing.

In practice, this means extending the existing viewer to include interactive “knobs” for pipeline control, similar in spirit to how the current 5D viewer allows navigation across time and frequency, but applied to preprocessing steps instead. Removing the need for regenerating with different parameters.

I believe the visual aspect is central in these tools, and ease of use can significantly speed up workflows, especially for non-technical medical researchers.