Original Research
Published on 02 Jun 2015
Effects of user mental state on EEG-BCI performance
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00308
- 14,402 views
- 154 citations
Type at least 3 characters
449 articles
Articles
Original Research
Published on 30 Mar 2015
A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00168
- 10,196 views
- 40 citations
Review
Published on 27 Mar 2015
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 specificity
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00135
- 25,669 views
- 105 citations
Original Research
Published on 26 Mar 2015
Error-related potentials during continuous feedback: using EEG to detect errors of different type and severity
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00155
- 18,455 views
- 138 citations
General Commentary
Published on 26 Mar 2015
Corrigendum “fNIRS-based brain-computer interfaces: a review”
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00172
- 5,435 views
- 31 citations
Review
Published on 28 Jan 2015
fNIRS-based brain-computer interfaces: a review
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2015.00003
- 71,712 views
- 773 citations
Original Research
Published on 09 Jan 2015
An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.01039
- 8,859 views
- 65 citations
Hypothesis and Theory
Published on 18 Dec 2014
Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.01008
- 43,855 views
- 185 citations
Original Research
Published on 12 Dec 2014
Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.01009
- 7,371 views
- 21 citations
Clinical Case Study
Published on 21 Oct 2014
Epidural electrocorticography for monitoring of arousal in locked-in state
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00861
- 6,109 views
- 9 citations
Original Research
Published on 08 Sep 2014
An EEG-based mental workload estimator trained on working memory task can work well under simulated multi-attribute task
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00703
- 10,111 views
- 53 citations
Original Research
Published on 06 Aug 2014
Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00574
- 7,786 views
- 45 citations
Technology Report
Published on 03 Jun 2014
Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00370
- 17,308 views
- 61 citations
Methods
Published on 28 Apr 2014
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00244
- 22,596 views
- 235 citations
Original Research
Published on 22 Apr 2014
Online transcranial Doppler ultrasonographic control of an onscreen keyboard
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00199
- 5,687 views
- 11 citations
Original Research
Published on 31 Mar 2014
Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2014.00182
- 10,393 views
- 40 citations