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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 251–275 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
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