31 citations · 43 across the 5 of their papers we have counts for
6 papers
Why BCIs work poorly with the patients who need them the most?
P Séguin, E Maby, J Mattout
A major objective of Brain-Computer interfaces (BCI) is to restore communication and control in patients with severe motor impairments, like people with Locked-in syndrome. These p…
Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI
Jelena Mladenović, Jeremy Frey, Smeety Pramij +2
Objective. Neural self-regulation is necessary for achieving control over brain-computer interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI…
Active Inference for Adaptive BCI: application to the P300 Speller
Jelena Mladenović, Jérémy Frey, Emmanuel Maby +3
Adaptive Brain-Computer interfaces (BCIs) have shown to improve performance, however a general and flexible framework to implement adaptive features is still lacking. We appeal to…
A generic framework for adaptive EEG-based BCI training and operation
Jelena Mladenović, Jérémie Mattout, Fabien Lotte
There are numerous possibilities and motivations for an adaptive BCI, which may not be easy to clarify and organize for a newcomer to the field. To our knowledge, there has not bee…
The Impact of Flow in an EEG-based Brain Computer Interface
Jelena Mladenović, Jérémy Frey, Manon Bonnet-Save +2
Major issues in Brain Computer Interfaces (BCIs) include low usability and poor user performance. This paper tackles them by ensuring the users to be in a state of immersion, contr…
Analyse discriminante matricielle descriptive. Application a l'étude de signaux EEG
Juliette Spinnato, Marie-Christine Roubaud, Margaux Perrin +4
We focus on the descriptive approach to linear discriminant analysis for matrix-variate data in the binary case. Under a separability assumption on row and column variability, the…