Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

L R Quitadamo

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Journal of Neural Engineering|January 10, 2017
Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a reviewL R Quitadamo, F Cavrini, L Sbernini, et al.
Journal of Neuroscience Methods|October 27, 2011
Evaluation of the performances of different P300 based brain-computer interfaces by means of the efficiency metricL R Quitadamo, M Abbafati, G C Cardarilli, et al.
Journal of Neural Engineering|May 20, 2014
Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imageryJ Toppi, M Risetti, L R Quitadamo, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Journal of Neural Engineering|January 10, 2017
Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a reviewL R Quitadamo, F Cavrini, L Sbernini, et al.
Journal of Neuroscience Methods|October 27, 2011
Evaluation of the performances of different P300 based brain-computer interfaces by means of the efficiency metricL R Quitadamo, M Abbafati, G C Cardarilli, et al.
Journal of Neural Engineering|May 20, 2014
Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imageryJ Toppi, M Risetti, L R Quitadamo, et al.
Pageof 1