Linear and nonlinear methods for brain-computer interfaces.
about
Studying depression using imaging and machine learning methodsBrain computer interfaces, a review.Partial orders of similarity differences invariant between EEG-recorded brain and perceptual representations of languageMultimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface.Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI.A Real-Time Magnetoencephalography Brain-Computer Interface Using Interactive 3D Visualization and the Hadoop EcosystemDecoding of single-trial auditory mismatch responses for online perceptual monitoring and neurofeedback.Advancing brain-machine interfaces: moving beyond linear state space modelsDecoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data.Towards zero training for brain-computer interfacing.Progress in EEG-Based Brain Robot Interaction Systems.Channel selection methods for the P300 Speller.Movement type prediction before its onset using signals from prefrontal area: an electrocorticography studyBCI Competition IV - Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery DetectionSitting and standing intention can be decoded from scalp EEG recorded prior to movement executionShould the parameters of a BCI translation algorithm be continually adapted?An efficient ERP-based brain-computer interface using random set presentation and face familiarity.Prior knowledge improves decoding of finger flexion from electrocorticographic signals.Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system.Evolutionary optimization of classifiers and features for single-trial EEG discriminationA comparison of regression techniques for a two-dimensional sensorimotor rhythm-based brain-computer interfaceBrainport: an alternative input to the brain.Inferring functional brain states using temporal evolution of regularized classifiers.Classifying EEG for brain-computer interface: learning optimal filters for dynamical system features.A novel design of 4-class BCI using two binary classifiers and parallel mental tasks.Brain-computer interface systems: progress and prospects.Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery.Prediction of human voluntary movement before it occursTowards a cure for BCI illiteracy.Assessing the Depth of Cognitive Processing as the Basis for Potential User-State Adaptation.Interactions between pre-processing and classification methods for event-related-potential classification: best-practice guidelines for brain-computer interfacing.Machine-learning-based coadaptive calibration for brain-computer interfaces.Classification of mental tasks from EEG signals using extreme learning machine.Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications.Adaptive multiclass classification for brain computer interfaces.Efficient automatic selection and combination of EEG features in least squares classifiers for motor imagery brain-computer interfaces.A new approach for concealed information identification based on ERP assessment.Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.Classification for Single-Trial N170 During Responding to Facial Picture With EmotionData-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review
P2860
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P2860
Linear and nonlinear methods for brain-computer interfaces.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
Linear and nonlinear methods for brain-computer interfaces.
@en
Linear and nonlinear methods for brain-computer interfaces.
@nl
type
label
Linear and nonlinear methods for brain-computer interfaces.
@en
Linear and nonlinear methods for brain-computer interfaces.
@nl
prefLabel
Linear and nonlinear methods for brain-computer interfaces.
@en
Linear and nonlinear methods for brain-computer interfaces.
@nl
P1476
Linear and nonlinear methods for brain-computer interfaces.
@en
P2093
Charles W Anderson
Gary E Birch
P304
P356
10.1109/TNSRE.2003.814484
P577
2003-06-01T00:00:00Z