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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 151–200 of 466 papers

TitleStatusHype
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Classification and Recognition of Encrypted EEG Data Neural Network—0
Ensemble Classifier for Eye State Classification using EEG Signals—0
Chromatic and High-frequency cVEP-based BCI Paradigm—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface—0
Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface—0
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP—0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
Covariance Density Neural Networks—0
Brief Architectural Survey of Biopotential Recording Front-Ends since the 1970s—0
BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
Brain informed transfer learning for categorizing construction hazards—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
An embedding for EEG signals learned using a triplet loss—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Brain Computer Interface Technology for Future Battlefield—0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network—0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition—0
An Analysis of the Accuracy of the P300 BCI—0
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
EEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach—0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning—0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance—0
Brain-based control of car infotainment—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis—0
EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion -- A Validation Study—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models—0
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications—0
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