— Paper accepted in Journal of Neural Engineering —

We are very happy to have our paper

“Towards Defining and Quantifying Mental Imagery Based-BCI Users’ skills”, F. Lotte & C. Jeunet

accepted in Journal of Neural Engineering! You can find the accepted version (uncorrected) HERE! We propose in this paper new MI-BCI performance metrics, based on Riemannian geometry, which enable the quantification of the EEG signals’ stability (for a specific class) and distinguishability (between different classes). You can find the corresponding code hereinafter:

https://sites.google.com/site/fabienlotte/code-and-softwares/metricsofperformance!

 

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s