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Brain Computer Interface

A Brain-Computer Interface (BCI), also known as a Brain-Machine Interface (BMI), is a technology that enables direct communication between the brain and an external device, such as a computer or a machine, without the need for any muscular or peripheral nerve activity. Essentially, BCIs establish a direct pathway between the brain and an external device, allowing for bidirectional communication.

BCIs typically work by detecting and interpreting brain signals, which are then translated into commands that control external devices or provide feedback to the user. These brain signals can be detected through various methods, including electroencephalography (EEG), which measures electrical activity in the brain through electrodes placed on the scalp, or invasive techniques such as implanted electrodes.

Papers

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Showing 401–450 of 466 papers

TitleStatusHype
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving—0
Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface—0
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Sparsistent Learning of Varying-coefficient Models with Structural Changes—0
Spatial Auditory Brain-computer Interface using Head Related Impulse Response—0
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)—0
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification—0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals—0
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG—0
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning—0
Spectrally Adaptive Common Spatial Patterns—0
SSVEP-Based BCI Wheelchair Control System—0
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding—0
Stimulation technology for brain and nerves, now and future—0
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject TrainingCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Quantifying Spatial Domain Explanations in BCI using Earth Mover's DistanceCode0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signalsCode0
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCICode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
Uncertainty Quantification for cross-subject Motor Imagery classificationCode0
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural networkCode0
Recurrent Neural Networks for P300-based BCICode0
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Relevance Feedback with Brain SignalsCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Benchmarking framework for machine learning classification from fNIRS dataCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Towards Decoding Brain Activity During Passive Listening of SpeechCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Speech Imagery BCI Training Using Game with a PurposeCode0
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG ClassifierCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain ResponsesCode0
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP TasksCode0
Evaluating Fast Adaptability of Neural Networks for Brain-Computer InterfaceCode0
PhyAAt: Physiology of Auditory Attention to Speech DatasetCode0
Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery ClassificationCode0
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