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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

Showing 51–75 of 466 papers

TitleStatusHype
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation ModelsCode1
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellersCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
Towards gaze-independent c-VEP BCI: A pilot studyCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
A Survey on Brain-Computer Interaction—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
A Low-complexity Brain-computer Interface for High-complexity Robot Swarm Control—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data—0
A Literature Review on the Smart Wheelchair Systems—0
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals—0
ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
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