Registration and submissions

Registration

The registration platform will be launched soon.

Dataset submissions

To obtain a diverse data collection for MUnitQuest that balances realism and label quality, we invite submissions of both experimental and simulated data. In short, depending on the type of data you want to contribute, a submission consists of the following parts:

Submission Requirements

Further details are coming soon.

Algorithm submission

This is a prediction submission competition. During both Phase 1 and Phase 2, you will be asked to upload, for each recording, a tabular file (recordingName_events.tsv) containing your predicted motor unit spikes (BIDS-events file) together with a log file (recordingName_log.json) describing essential process metadata (further details to be announced). To be eligible for awards, you need to share your code openly (e.g., on GitHub).

Example: how to report motor unit spike trains

Here is a minimal example of the format (BIDS-event file) used for submitting motor unit spike trains (both for labels and algorithm predictions):

onset duration sample unit_id description
0.001 0 1 0 motor-unit-spike
0.005 0 5 1 motor-unit-spike
0.011 0 11 0 motor-unit-spike
0.012 0 12 2 motor-unit-spike
0.016 0 16 1 motor-unit-spike