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

Julian Caicedo-Acosta

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

Pageof 1
Sort By:
Frontiers in Neuroscience|March 13, 2020
Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery ClassificationDiego Collazos-Huertas, Julian Caicedo-Acosta, German A Castaño-Duque, et al.
Sensors (Basel, Switzerland)|April 3, 2021
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity IndicatorsJulian Caicedo-Acosta, German A Castaño, Carlos Acosta-Medina, et al.
Brain Sciences|October 6, 2020
Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery TasksLuisa Velasquez-Martinez, Julian Caicedo-Acosta, Carlos Acosta-Medina, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Neuroscience|March 13, 2020
Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery ClassificationDiego Collazos-Huertas, Julian Caicedo-Acosta, German A Castaño-Duque, et al.
Sensors (Basel, Switzerland)|April 3, 2021
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity IndicatorsJulian Caicedo-Acosta, German A Castaño, Carlos Acosta-Medina, et al.
Brain Sciences|October 6, 2020
Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery TasksLuisa Velasquez-Martinez, Julian Caicedo-Acosta, Carlos Acosta-Medina, et al.
Pageof 1