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awesome-bci-reviews
Curated list of Brain-Computer Interface peer-reviewd reviews and surveys
https://github.com/okbalefthanded/awesome-bci-reviews
- Brain–Computer Interface Technology : A Review of the First International Meeting
- Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems
- A review of classification algorithms for EEG-based brain-computer interfaces
- A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals
- EMG and EOG artifacts in brain computer interface systems: A survey.
- Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges
- Enhancing human-computer interaction with input from active and passive brain-computer interfaces. (In: Brain-computer interfaces.)
- Towards inexpensive BCI control for wheelchair navigation in the enabled environment - A hardware survey
- A survey of stimulation methods used in SSVEP-based BCIs
- The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
- Toward smarter BCIs: extending BCIs through hybridization and intelligent Control
- Tools for brain-computer interaction: a general concept for a hybrid BCI
- A Review of Asynchronous Electroencephalogram-based Brain Computer Interface Systems
- Critical issues in state-of-the-art brain-computer interface signal processing
- Optimizing the P300-based brain-computer interface: current status, limitations and future directions.
- Brain-computer interfaces using electrocorticographic signals.
- Challenges and opportunities for next-generation intracortically based neural prostheses
- A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs) (in BCI state of the art summary)
- P300 brain computer interface: current challenges and emerging trends.
- Brain–computer interfaces for multimodal interaction: a survey and principles
- From spinal central pattern generators to cortical network: Integrated BCI for walking rehabilitation
- A review of P300, SSVEP, and hybrid P300/SSVEP brain computer interface systems. (In: Brain-computer interface systems - recent progress and future prospects. InTech)
- Review of the BCI competition IV
- Brain computer interfaces, a review.
- A comparison of classification techniques for a gaze-independent P300-based brain-computer interface.
- Toward functioning and usable brain–computer interfaces (BCIs): A literature review
- A review of hybrid brain-computer interface systems
- Games, gameplay, and BCI: The state of the art
- Adapting the P300-based brain-computer interface for gaming: A review
- Principles of hybrid brain–computer interfaces. (In: Towards practical brain computer interface)
- Hybrid optical–electrical brain computer interfaces, practices and possibilities. (In: Towards practical brain-computer interfaces.)
- Brain computer interfacing: a multimodal perspective
- A review of kernels on covariance matrices for BCI applications
- An analysis of performance evaluation for motor-imagery based BCI
- EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey
- EEG-Based Brain-Controlled Mobile Robots: A Survey
- Visual and auditory brain-computer interfaces
- Effectiveness of the P3-speller in brain-computer interfaces for amyotrophic lateral sclerosis patients: a systematic review and meta-analysis.
- Noninvasive brain-computer interfaces for augmentative and alternative communication.
- Dry EEG electrodes
- Performance measurement for brain–computer or brain–machine interfaces: a tutorial
- A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
- Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives
- A review on transfer learning for brain-computer interface classification
- Steady-State Somatosensory Evoked Potential for Brain-Computer Interface—Present and Future
- EEG artifact removal-state-of-the-art and guidelines.
- Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -
- Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based Brain-Computer Interfaces
- Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond
- Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces
- A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials
- Multi-modal and multi-brain-computer interfaces: A review
- fNIRS-based brain-computer interfaces: a review
- Recent advances and open challenges in hybrid brain-computer interfacing: a technological review of non-invasive human research
- Scientific profile of brain–computer interfaces: Bibliometric analysis in a 10-year period
- A Review of Electrodes for the Electrical Brain Signal Recording
- Integrating language models into classifiers for BCI communication: a review
- Review of real brain-controlled wheelchairs
- Stimuli design for SSVEP-based brain computer-interface
- The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
- Beyond ‘communication and control’: towards ethically complete rationales for brain-computer interface research
- Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients with Disorder of Consciousness
- Advances in user-training for mental-imagery-based BCI control
- 3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming
- Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms
- A review and experimental study on application of classifiers and evolutionary algorithms in EEG based brain-machine interface systems
- Riemannian Approaches in Brain-Computer Interfaces: A Review
- Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
- A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
- Hybrid brain-computer interface techniques for improved classification accuracy and increased number of commands: A review
- A review of rapid serial visual presentation-based brain-computer interfaces
- Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review
- Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces
- Brain computer interface_ control signals review
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
- Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
- BRAIN-COMPUTER INTERFACES AND AUGMENTED REALITY: A STATE OF THE ART
- Brain computer interface systems using non-invasive electroencephalogram signal: A literature review
- A comprehensive review of EEG-based brain-computer interface paradigms
- A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
- Brain-Machine Interfaces for Controlling Lower-Limb Powered Robotic Systems
- A survey on unmanned aerial vehicle remote control using brain-computer interface
- Asilomar Survey: Researcher Perspectives on Ethical Principles and Guidelines for BCI Research
- To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs
- Brain–Computer Interface Spellers: A Review
- Brain-machine interfaces for rehabilitation in stroke: A review
- A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations
- Deep learning-based electroencephalography analysis: a systematic review
- Single-paradigm and hybrid brain computing interfaces and their use by disabled patients
- A Review of Error-Related Potential-Based Brain–Computer Interfaces for Motor Impaired People
- Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications
- Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
- Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review
- BCI for stroke rehabilitation: Motor and beyond
- The N400 for brain computer interfacing: complexities and opportunities
- Spatial Filtering in SSVEP-based BCIs: Unified Framework and New Improvements
- Brain-computer interface-based humanoid control: A review
- Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals
- Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
- A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
- A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
- 30+ years of P300 brain–computer interfaces
- Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review
- Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review
- Brain–Computer Interface Software: A Review and Discussion
- Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
- An empirical survey of electroencephalography-based brain-computer interfaces
- Hybrid control approaches for hands-free high level human–computer interface-a review
- A Survey on the Use of Haptic Feedback for Brain-Computer Interfaces and Neurofeedback
- Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
- Direct-Sense Brain–Computer Interfaces and Wearable Computers
- Interface, interaction, and intelligence in generalized brain–computer interfaces
- Signal Generation, Acquisition, and Processing in Brain Machine Interfaces: A Unified Review
- A Survey on Deep Learning-Based Short/Zero-Calibration Approaches for EEG-Based Brain–Computer Interfaces
- EEG-based brain–computer interfaces exploiting steady-state somatosensory-evoked potentials: a literature review
- Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review
- A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces
- Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance
- Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, from Single Modal to Hybrid Modal, from Synchronous to Asynchronous
- A systematic review on hybrid EEG/fNIRS in brain-computer interface
- Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review
- Review on Motor Imagery Based EEG Signal Classification for BCI Using Deep Learning Techniques
- Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfaces
- Data Augmentation for Deep Neural Networks Model in EEG Classification Task: A Review
- Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
- Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions
- Review of Machine Learning Techniques for EEG Based Brain Computer Interface
- Brain–Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?
- EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review
- EEG hybrid brain-computer interfaces: A scoping review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications
- Advances in P300 brain–computer interface spellers: toward paradigm design and performance evaluation
- Review of the State-of-the-Art of Brain-Controlled Vehicles
- Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
- EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives
- Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
- EEG-based vibrotactile evoked brain-computer interfaces system: A systematic review
- Status of deep learning for EEG-based brain–computer interface applications
- Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods
- A survey of deep learning-based classification methods for steady-state visual evoked potentials
- An Analysis of Deep Learning Models in SSVEP-Based BCI: A Survey
- How Visual Stimuli Evoked P300 is Transforming the Brain–Computer Interface Landscape: A PRISMA Compliant Systematic Review
- Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
- Generative Adversarial Networks for Electroencephalogram Signal Analysis: A Mini Review
- A review on the performance of brain-computer interface systems used for patients with locked-in and completely locked-in syndrome
- Methods for Motion Artifact Reduction in Online Brain-Computer Interface Experiments: A Systematic Review
- Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review
- fNIRS-EEG BCIs for Motor Rehabilitation: A Review
- Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
- Review of public motor imagery and execution datasets in brain-computer interfaces
- Generative adversarial networks in EEG analysis: an overview
- An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification