The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects.
about
Brain computer interfaces, a review.The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.First Steps Toward a Motor Imagery Based Stroke BCI: New Strategy to Set up a Classifier.Development of speech prostheses: current status and recent advances.Detection of error related neuronal responses recorded by electrocorticography in humans during continuous movements.Towards zero training for brain-computer interfacing.Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2bA systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.A co-adaptive brain-computer interface for end users with severe motor impairmentThe influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects.BCI Competition IV - Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery DetectionNon-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment.Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applicationsDecoding intention at sensorimotor timescales.Predicting BCI subject performance using probabilistic spatio-temporal filters.An adaptive P300-based control systemWhat would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosisLeveraging anatomical information to improve transfer learning in brain-computer interfaces.Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface.Prediction of brain-computer interface aptitude from individual brain structure.Performance assessment in brain-computer interface-based augmentative and alternative communicationGoal selection versus process control in a brain-computer interface based on sensorimotor rhythms.Gamma band activity associated with BCI performance: simultaneous MEG/EEG study.Regularized common spatial patterns with subject-to-subject transfer of EEG signals.Spatio-Temporal EEG Models for Brain Interfaces.Preserved foot motor cortex in patients with complete spinal cord injury: a functional near-infrared spectroscopic study.Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robot.Towards a cure for BCI illiteracy.Functional imaging reveals movement preparatory activity in the vegetative state.Continuous EEG signal analysis for asynchronous BCI application.Robust common spatial filters with a max-min approach.Machine-learning-based coadaptive calibration for brain-computer interfaces.Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface.Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand.EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports.A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance.Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography.Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface.
P2860
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P2860
The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@en
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@nl
type
label
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@en
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@nl
prefLabel
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@en
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@nl
P2093
P356
P1476
The Berlin Brain--Computer Int ...... session in BCI-naïve subjects.
@en
P2093
Benjamin Blankertz
Florian Losch
Gabriel Curio
Guido Dornhege
Matthias Krauledat
P304
P356
10.1109/TBME.2008.923152
P577
2008-10-01T00:00:00Z