Cargando…
Toward a Semi-Self-Paced EEG Brain Computer Interface: Decoding Initiation State from Non-Initiation State in Dedicated Time Slots
Brain computer interfaces (BCIs) offer a broad class of neurologically impaired individuals an alternative means to interact with the environment. Many BCIs are “synchronous” systems, in which the system sets the timing of the interaction and tries to infer what control command the subject is issuin...
Autores principales: | Yang, Lingling, Leung, Howard, Peterson, David A., Sejnowski, Terrence J., Poizner, Howard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3931691/ https://www.ncbi.nlm.nih.gov/pubmed/24586440 http://dx.doi.org/10.1371/journal.pone.0088915 |
Ejemplares similares
-
Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals
por: Lainscsek, Claudia, et al.
Publicado: (2013) -
Non-Linear Dynamical Classification of Short Time Series of the Rössler System in High Noise Regimes
por: Lainscsek, Claudia, et al.
Publicado: (2013) -
A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
por: Lopez-Bernal, Diego, et al.
Publicado: (2022) -
Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012) -
Biophysical Basis for Three Distinct Dynamical Mechanisms of Action
Potential Initiation
por: Prescott, Steven A., et al.
Publicado: (2008)