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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 151–175 of 466 papers

TitleStatusHype
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Deep Learning in fNIRS: A review—0
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period—0
Bayesian Networks for Brain-Computer Interfaces: A Survey—0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features—0
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface—0
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface—0
Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding—0
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer—0
EEG-assisted Modulation of Sound Sources in the Auditory Scene—0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface—0
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach—0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications—0
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning—0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models—0
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
Deep learning-based classification of fine hand movements from low frequency EEG—0
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