Cargando…

Towards Zero Training for Brain-Computer Interfacing

Electroencephalogram (EEG) signals are highly subject-specific and vary considerably even between recording sessions of the same user within the same experimental paradigm. This challenges a stable operation of Brain-Computer Interface (BCI) systems. The classical approach is to train users by neuro...

Descripción completa

Detalles Bibliográficos
Autores principales:	Krauledat, Matthias, Tangermann, Michael, Blankertz, Benjamin, Müller, Klaus-Robert
Formato:	Texto
Lenguaje:	English
Publicado:	Public Library of Science 2008
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500157/ https://www.ncbi.nlm.nih.gov/pubmed/18698427 http://dx.doi.org/10.1371/journal.pone.0002967

Ejemplares similares

True Zero-Training Brain-Computer Interfacing – An Online Study
por: Kindermans, Pieter-Jan, et al.
Publicado: (2014)

A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue
por: Schreuder, Martijn, et al.
Publicado: (2010)

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
por: Blankertz, Benjamin, et al.
Publicado: (2010)

(C)overt attention and visual speller design in an ERP-based brain-computer interface
por: Treder, Matthias S, et al.
Publicado: (2010)

Towards User-Friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm
por: Höhne, Johannes, et al.
Publicado: (2014)

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
por: Blankertz, Benjamin, et al.
Publicado: (2016)

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees
por: Hübner, David, et al.
Publicado: (2017)

Exploring Combinations of Auditory and Visual Stimuli for Gaze-Independent Brain-Computer Interfaces
por: An, Xingwei, et al.
Publicado: (2014)

Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific?
por: Wenzel, Markus A., et al.
Publicado: (2016)

Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
por: Höhne, Johannes, et al.
Publicado: (2014)

Wyrm: A Brain-Computer Interface Toolbox in Python
por: Venthur, Bastian, et al.
Publicado: (2015)

Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
por: Treder, Matthias S, et al.
Publicado: (2011)

A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids
por: Hwang, Han-Jeong, et al.
Publicado: (2015)

Aphasia recovery by language training using a brain–computer interface: a proof-of-concept study
por: Musso, Mariacristina, et al.
Publicado: (2022)

Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface
por: Acqualagna, Laura, et al.
Publicado: (2016)

Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies
por: Minguillon, Jesus, et al.
Publicado: (2022)

A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection
por: Kolkhorst, Henrich, et al.
Publicado: (2020)

A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System
por: Höhne, Johannes, et al.
Publicado: (2011)

Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials
por: Hübner, David, et al.
Publicado: (2018)

Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)
por: Hammer, Eva M., et al.
Publicado: (2014)

A zero-shot learning approach to the development of brain-computer interfaces for image retrieval
por: McCartney, Ben, et al.
Publicado: (2019)

Eyes-closed hybrid brain-computer interface employing frontal brain activation
por: Shin, Jaeyoung, et al.
Publicado: (2018)

Adhesive Interfaces toward a Zero-Waste Industry
por: Sierra-Romero, Adriana, et al.
Publicado: (2022)

Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
por: Millán, J. d. R., et al.
Publicado: (2010)

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
por: Huggins, Jane E., et al.
Publicado: (2017)

Towards hippocampal navigation for brain–computer interfaces
por: Saal, Jeremy, et al.
Publicado: (2023)

Evaluation of a Compact Hybrid Brain-Computer Interface System
por: Shin, Jaeyoung, et al.
Publicado: (2017)

Editorial: Towards dependable brain computer/machine interfaces for movement control
por: Müller-Putz, Gernot R., et al.
Publicado: (2023)

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
por: Sannelli, Claudia, et al.
Publicado: (2019)

Towards a Cure for BCI Illiteracy
por: Vidaurre, Carmen, et al.
Publicado: (2009)

An Efficient ERP-Based Brain-Computer Interface Using Random Set Presentation and Face Familiarity
por: Yeom, Seul-Ki, et al.
Publicado: (2014)

Towards a Communication Brain Computer Interface Based on Semantic Relations
por: Geuze, Jeroen, et al.
Publicado: (2014)

A Survey on Deep Learning-Based Short/Zero-Calibration Approaches for EEG-Based Brain–Computer Interfaces
por: Ko, Wonjun, et al.
Publicado: (2021)

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
por: Babiloni, F., et al.
Publicado: (2007)

Brain–Computer Interfaces: Toward a Daily Life Employment
por: Aricò, Pietro, et al.
Publicado: (2020)

Brain Computer Interface on Track to Home
por: Miralles, Felip, et al.
Publicado: (2015)

Towards Development of a 3-State Self-Paced Brain-Computer Interface
por: Bashashati, Ali, et al.
Publicado: (2007)

2020 International brain–computer interface competition: A review
por: Jeong, Ji-Hoon, et al.
Publicado: (2022)

Towards the Absolute Zero
por: WEINTROUB, S.
Publicado: (1952)

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems
por: Gao, Dongrui, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_70krm4fd6v9ormr47oj5fa13uk