Editorial
Published on 10 Sep 2021
Editorial: Enabling Wearable Brain Technologies - Methods and Applications
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.722388
- 2,083 views
- 1 citation
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392 articles
articles
Original Research
Published on 09 Sep 2021
Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.700627
- 6,941 views
- 21 citations
Original Research
Published on 07 Sep 2021
Information Bottleneck as Optimisation Method for SSVEP-Based BCI
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.675091
- 3,195 views
- 2 citations
Original Research
Published on 26 Aug 2021
Classification of Complex Emotions Using EEG and Virtual Environment: Proof of Concept and Therapeutic Implication
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.711279
- 6,265 views
- 10 citations
Original Research
Published on 20 Aug 2021
Mental Workload Estimation Based on Physiological Features for Pilot-UAV Teaming Applications
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.692878
- 6,983 views
- 29 citations
Original Research
Published on 17 Aug 2021
Automatic Sleep Staging Algorithm Based on Time Attention Mechanism
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.692054
- 10,069 views
- 14 citations
Mini Review
Published on 13 Aug 2021
Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.705064
- 20,451 views
- 70 citations
Original Research
Published on 09 Aug 2021
P3-MSDA: Multi-Source Domain Adaptation Network for Dynamic Visual Target Detection
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.685173
- 3,331 views
- 4 citations
Perspective
Published on 04 Aug 2021
What Should We Do With People Who Cannot or Do Not Want to Be Protected From Neurotechnological Threats?
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.703092
- 6,835 views
- 16 citations
Original Research
Published on 19 Jul 2021
An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.647839
- 6,183 views
- 7 citations
Original Research
Published on 16 Jul 2021
Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.692304
- 13,996 views
- 26 citations
Systematic Review
Published on 14 Jul 2021
Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.643294
- 18,274 views
- 52 citations
Review
Published on 08 Jul 2021
The Potential Role of fNIRS in Evaluating Levels of Consciousness
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.703405
- 9,234 views
- 40 citations
Original Research
Published on 08 Jul 2021
A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.655840
- 7,085 views
- 33 citations
Opinion
Published on 29 Jun 2021
Affective Brain-Computer Music Interfaces—Drivers and Implications
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.711407
- 10,444 views
- 6 citations
Original Research
Published on 24 Jun 2021
Changes in EEG Brain Connectivity Caused by Short-Term BCI Neurofeedback-Rehabilitation Training: A Case Study
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.627100
- 7,510 views
- 15 citations
Original Research
Published on 23 Jun 2021
BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.653659
- 38,342 views
- 216 citations
Original Research
Published on 15 Jun 2021
Design Considerations for Long Term Non-invasive Brain Computer Interface Training With Tetraplegic CYBATHLON Pilot
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.648275
- 7,263 views
- 16 citations
Original Research
Published on 07 Jun 2021
An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.625983
- 5,334 views
- 17 citations
Original Research
Published on 31 May 2021
Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.675154
- 7,315 views
- 28 citations
Review
Published on 28 May 2021
A Survey on Deep Learning-Based Short/Zero-Calibration Approaches for EEG-Based Brain–Computer Interfaces
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.643386
- 13,708 views
- 43 citations
Original Research
Published on 25 May 2021
Brain Networks Underlying Strategy Execution and Feedback Processing in an Efficient Functional Magnetic Resonance Imaging Neurofeedback Training Performed in a Parallel or a Serial Paradigm
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.645048
- 4,215 views
- 7 citations
Opinion
Published on 11 May 2021
Values Evolution in Human Machine Relations: Grounding Computationalism and Neural Dynamics in a Physical a Priorism of Nature
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.649544
- 3,472 views
- 2 citations
Original Research
Published on 30 Apr 2021
Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface
in Brain-Computer Interfaces
Frontiers in Human Neuroscience
doi 10.3389/fnhum.2021.658444
- 7,156 views
- 14 citations