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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 201–250 of 466 papers

TitleStatusHype
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging—0
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills—0
Active recursive Bayesian inference using Rényi information measures—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Adaptive neural network classifier for decoding MEG signals—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems—0
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
A Literature Review on the Smart Wheelchair Systems—0
A Low-complexity Brain-computer Interface for High-complexity Robot Swarm Control—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
AM-MTEEG: Multi-task EEG classification based on impulsive associative memory—0
A multi-agent control framework for co-adaptation in brain-computer interfaces—0
A Multi-Context Character Prediction Model for a Brain-Computer Interface—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
Analysis of artifacts in EEG signals for building BCIs—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
An Analysis of the Accuracy of the P300 BCI—0
An embedding for EEG signals learned using a triplet loss—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters—0
ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words—0
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
A Survey on Brain-Computer Interaction—0
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers—0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
A Technique Based on Chaos for Brain Computer Interfacing—0
Attention-based Transfer Learning for Brain-computer Interface—0
Attention Patterns Detection using Brain Computer Interfaces—0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning—0
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