Turning negative into positives! Exploiting “negative” results in Brain-Machine Interface research

International BCI Meeting 2018 Workshop organized by Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga and Laurent Bougrain

Outline and slides (click on the presentation titles to download them):

9:00 Why can “negative results” be useful in BMI research? - Fabien Lotte
9:15 Things that can go wrong when building BCIs for late-stage ALS patients - Moritz Grosse-Wentrup
9:30 Discussion: what would be other reasons making negative results useful?
10:00 Short presentations of (un)published negative results - chair: Laurent Bougrain
- Multiclass BCI problems: What about multiclass classifiers? - Laurent Bougrain
- Negative Results from IAPS Emotion Recognition experiments - David Thompson
10:30 Coffee break
10:45 Planning for possible negative results
- Towards a culture of negative results in BMI research - Ricardo Chavarriaga
- Towards a list of Criteria & Research Design guidelines - Camille Jeunet
11:05 Discussions: identifying criterias and methods to make possible negative results relevant and useful, and to promote them

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