📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Channel and Class Dependent Time-Series Embedding Using Partial Mutual Information Improves Sensorimotor Rhythm Based Brain-Computer Interfaces

First Author: Coyle D

Attributed to: Intelligent Pre- and Post-Processing Algorithms for Autonomous Multiclass Brain-Computer Interfaces funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-642-33439-9_12

Publication URI: http://dx.doi.org/10.1007/978-3-642-33439-9_12

Type: Book Chapter

Book Title: Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective (2013)

Page Reference: 249-278

ISBN: 978-3-642-33438-2