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 251–300 of 466 papers

TitleStatusHype
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
How does artificial intelligence contribute to iEEG research?—0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
EPOC Emotiv EEG Basics—0
Interaction-Grounded Learning with Action-inclusive Feedback—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
A Low-complexity Brain-computer Interface for High-complexity Robot Swarm Control—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
Bayesian Networks for Brain-Computer Interfaces: A Survey—0
IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction—0
On the Handwriting Tasks' Analysis to Detect Fatigue—0
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data—0
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback—0
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation—0
Spectrally Adaptive Common Spatial Patterns—0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
Deep Learning in fNIRS: A review—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter—0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
A Survey on Brain-Computer Interaction—0
Learning shared neural manifolds from multi-subject FMRI data—0
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface—0
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer—0
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints—0
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
Generating Music and Generative Art from Brain activity—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
Show:102550
← PrevPage 6 of 10Next →

No leaderboard results yet.