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
- 14,727 views
- 38 citations
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434 articles
Articles
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
- 2,455 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
- 5,002 views
- 11 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
- 4,560 views
- 5 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
- 9,276 views
- 18 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
- 11,442 views
- 30 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
- 6,202 views
- 25 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
- 5,051 views
- 21 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
- 7,291 views
- 5 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
- 5,622 views
- 12 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
- 27,799 views
- 118 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
- 5,324 views
- 10 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
- 4,087 views
- 12 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
- 5,372 views
- 20 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
- 10,313 views
- 23 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
- 3,148 views
- 4 citations