FPGA Hardware Acceleration of 3D reconstruction of EEG data
Leaders:
Hossen Alyazgi — hossenalyazgi@mail.mcgill.ca — cristo07847
HyPyP Cookbook Sprint: a community-driven onboarding kit (docs, tutorials, examples, and small feature fixes)
Leaders:
HyPyP is an open-source Python toolbox for hyperscanning and interpersonal brain/physiology synchrony analyses. The goal of this BrainHack project is to build a community-driven onboarding kit that makes HyPyP easier to learn, run, and extend—especially for newcomers.
Concretely, we will produce a Cookbook: a small set of well-documented, reproducible tutorials (notebooks), improved documentation, and contributor-friendly entry points (“good first issues”). This will help students, researchers, and engineers quickly go from “I installed HyPyP” to “I can run a complete synchrony workflow and understand what I’m doing,” while also making it easier for new contributors to participate.
As part of the Cookbook effort, we will also identify the main bottlenecks and roadblocks that create friction for newcomers (installation issues, unclear steps, common pitfalls) and either remove them when feasible or document clear solutions (troubleshooting/FAQ).
This is a high-impact, low-friction community effort: in only a few days, we can significantly reduce the barrier to entry for hyperscanning analyses and improve reproducibility. The project is designed to be inclusive: contributors can help through writing, reviewing, coding, testing, visualization, or pedagogy, at beginner/intermediate/advanced levels.
Bonus: if time allows, we’ll implement a small “quality-of-life” improvement (e.g., clearer API wrapper, tests, example dataset, or minor feature fix) so the event yields both documentation and code improvements.
Participants will:
We will provide a clear README, a beginner-friendly checklist, and a live coordination channel during the event.