Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.
about
Toward an Open-Ended BCI: A User-Centered Coadaptive Design.The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI.Visuospatial function predicts one-week motor skill retention in cognitively intact older adults.Predictive factors of success in neurofeedback training for children with ADHD.User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface.Heading for new shores! Overcoming pitfalls in BCI design.Attending to Visual Stimuli versus Performing Visual Imagery as a Control Strategy for EEG-based Brain-Computer InterfacesMost Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis
P2860
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P2860
Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
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2015年論文
@zh-tw
2015年论文
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2015年论文
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2015年论文
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name
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@ast
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@en
type
label
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@ast
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@en
prefLabel
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@ast
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@en
P2093
P2860
P1433
P1476
Predicting Mental Imagery-Base ...... d Neurophysiological Patterns.
@en
P2093
Bernard N'Kaoua
Camille Jeunet
Martin Hachet
P2860
P304
P356
10.1371/JOURNAL.PONE.0143962
P407
P577
2015-12-01T00:00:00Z