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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 401–450 of 466 papers

TitleStatusHype
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm—0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning—0
Deep Transfer Learning for EEG-based Brain Computer Interface—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography—0
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP—0
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks—0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
A Multi-Context Character Prediction Model for a Brain-Computer Interface—0
Adaptive neural network classifier for decoding MEG signals—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface—0
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression—0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface—0
Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filtersCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
A Technique Based on Chaos for Brain Computer Interfacing—0
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier—0
Human and Smart Machine Co-Learning with Brain Computer Interface—0
EEG-assisted Modulation of Sound Sources in the Auditory Scene—0
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding—0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Ensemble Classifier for Eye State Classification using EEG Signals—0
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest—0
Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks—0
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities—0
Reconfiguring motor circuits for a joint manual and BCI task—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)—0
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization—0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort—0
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
Visual Motion Onset Brain-computer Interface—0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification—0
Ownership and Agency of an Independent Supernumerary Hand Induced by an Imitation Brain-Computer Interface—0
Geometry-aware stationary subspace analysis—0
Reducing training requirements through evolutionary based dimension reduction and subject transfer—0
Neuroprosthetic decoder training as imitation learning—0
Images from the Mind: BCI image evolution based on Rapid Serial Visual Presentation of polygon primitives—0
Chromatic and High-frequency cVEP-based BCI Paradigm—0
Inter-stimulus Interval Study for the Tactile Point-pressure Brain-computer Interface—0
Head-related Impulse Response Cues for Spatial Auditory Brain-computer Interface—0
Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -—0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters—0
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