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