Grading

We will grade your code before the poster session, and your poster presentation, consisting of a poster walkthrough (4min) and ~10 minutes of questions / answers.

Code - 35% (graded before the poster session)

  • 10% Code readability & code documentation. Clear and informative documentation (code comments), docstrings, style and modularity. Please include short reasoning comments on your processing choices (reference, filter settings, data removal criteria, algorithmic choices). I do not want essays in the code โ€” one or two sharp sentences per decision (# Decision/Rationale: average reference, because ...).

  • 10% Reproducibility & modularity. Control and document the software versions, make sure your analysis scripts can be reproduced on another computer easily. Tip: If you are using mne-BIDS-pipeline you already have a good start.

  • 15% Sanity checks & sanity visualizations. The pipeline includes small checks (e.g., asserts, quick plots, or simple tests) of intermediate and final results to show that the code works as intended.

Poster - 15%

The poster should consist of:

  • pipeline overview with own choices

  • Results (including results of the original authors to compare with).

  • Results of additional analyses

We will have a workbench session, where we discuss good practices for posters and poster presentations and you will have a poster template, that you can use if you want to.

Walkthrough - 20% (4 min sharp)

You walk us through your poster, present your pipeline, your reasons for deviating from the original pipeline, your results (whether you think you replicated or not) and your additional analysis.

Q&A - 30% (~10 min)

We will mainly ask for motivation of selected parameters: why this reference, why these filters, why did you remove these epochs, why this algorithm etc. Sometimes there is no correct answer, so I want to hear what your thoughts were in choosing either or. โ€œThe pipeline did itโ€ is not a good answer, but โ€œwe changed X and it did Yโ€ would be. We will not quiz you on specific knowledge of EEG (we wonโ€™t ask e.g. โ€œhow does ICA relate to PCAโ€)