Predictors of successful self control during brain-computer communication.
about
Brain computer interfaces, a review.Envelope responses in single-trial EEG indicate attended speaker in a 'cocktail party'.Prediction of P300 BCI aptitude in severe motor impairment.Prediction of auditory and visual p300 brain-computer interface aptitude.The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.The obese brain athlete: self-regulation of the anterior insula in adiposity.Neurofeedback of slow cortical potentials: neural mechanisms and feasibility of a placebo-controlled design in healthy adultsPredicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.Brainport: an alternative input to the brain.Prediction of brain-computer interface aptitude from individual brain structure.The morphology of midcingulate cortex predicts frontal-midline theta neurofeedback success.Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?Learning to modulate one's own brain activity: the effect of spontaneous mental strategiesToward functioning and usable brain-computer interfaces (BCIs): a literature review.Neurofeedback in children with ADHD: validation and challenges.Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificityAbility to Gain Control Over One's Own Brain Activity and its Relation to Spiritual Practice: A Multimodal Imaging Study.Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.Resting alpha activity predicts learning ability in alpha neurofeedback.Covert visuospatial attention orienting in a brain-computer interface for amyotrophic lateral sclerosis patients.Light on! Real world evaluation of a P300-based brain-computer interface (BCI) for environment control in a smart home.An auditory brain-computer interface based on the self-regulation of slow cortical potentials.EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients.
P2860
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P2860
Predictors of successful self control during brain-computer communication.
description
2003 nî lūn-bûn
@nan
2003 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Predictors of successful self control during brain-computer communication.
@ast
Predictors of successful self control during brain-computer communication.
@en
type
label
Predictors of successful self control during brain-computer communication.
@ast
Predictors of successful self control during brain-computer communication.
@en
prefLabel
Predictors of successful self control during brain-computer communication.
@ast
Predictors of successful self control during brain-computer communication.
@en
P2860
P356
P1476
Predictors of successful self control during brain-computer communication.
@en
P2093
P2860
P304
P356
10.1136/JNNP.74.8.1117
P407
P577
2003-08-01T00:00:00Z