SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 466 papers

TitleStatusHype
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback—0
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices—0
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants—0
Covariance Density Neural Networks—0
The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
A 6.3-Nanowatt-per-Channel 96-Channel Neural Spike Processor for a Movement-Intention-Decoding Brain-Computer-Interface Implant—0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
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
Show:102550
← PrevPage 8 of 10Next →

No leaderboard results yet.