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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 51–100 of 466 papers

TitleStatusHype
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
Towards gaze-independent c-VEP BCI: A pilot studyCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Natural scene reconstruction from fMRI signals using generative latent diffusionCode1
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural StimuliCode0
Speech Imagery BCI Training Using Game with a PurposeCode0
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain ResponsesCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
Recurrent Neural Networks for P300-based BCICode0
Relevance Feedback with Brain SignalsCode0
Quantifying Spatial Domain Explanations in BCI using Earth Mover's DistanceCode0
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural DynamicsCode0
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG ClassifierCode0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationCode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
PhyAAt: Physiology of Auditory Attention to Speech DatasetCode0
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Evaluating Fast Adaptability of Neural Networks for Brain-Computer InterfaceCode0
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signalsCode0
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject TrainingCode0
Embedding neurophysiological signalsCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery ClassificationCode0
Benchmarking framework for machine learning classification from fNIRS dataCode0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile ArchitecturesCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP TasksCode0
A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI DecodingCode0
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