A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding

Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

(2020) Jing Jin et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

(2020) Jing Jin et al.   IEEE Transactions on Neural Networks and Learning Systems

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

(2019) Mengxi Dai et al.   SENSORS

A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding

(2019) Yang Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification

(2019) Xinqiao Zhao et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Correlation-based channel selection and regularized feature optimization for MI-based BCI

(2019) Jing Jin et al.   NEURAL NETWORKS

A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs

(2019) Yang Li et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features

(2018) Yang Li et al.   International Journal of Neural Systems

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

(2018) Siavash Sakhavi et al.   IEEE Transactions on Neural Networks and Learning Systems

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

(2018) Yu Zhang et al.   IEEE Transactions on Cybernetics

Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

(2018) Tian-jian Luo et al.   BMC BIOINFORMATICS

Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis

(2017) Lina Wang et al.   Entropy

Deep learning with convolutional neural networks for EEG decoding and visualization

(2017) Robin Tibor Schirrmeister et al.   HUMAN BRAIN MAPPING

EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation

(2017) Kai Keng Ang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

High-resolution time–frequency representation of EEG data using multi-scale wavelets

(2017) Yang Li et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance

(2017) Jianjun Meng et al.   IEEE Access

Deep learning in bioinformatics

(2016) Seonwoo Min et al.   BRIEFINGS IN BIOINFORMATICS

Improved SFFS method for channel selection in motor imagery based BCI

(2016) Zhaoyang Qiu et al.   NEUROCOMPUTING

A Brain-Machine Interface Based on ERD/ERS for an Upper-Limb Exoskeleton Control

(2016) Zhichuan Tang et al.   SENSORS

Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI

(2016) Lianghua He et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Deep learning

(2015) Yann LeCun et al.   NATURE

Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction

(2014) Matthew D Luciw et al.   Scientific Data

Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications

(2013) Yubo Wang et al.   Journal of NeuroEngineering and Rehabilitation

Brain-computer interfaces for communication and control

(2011) Dennis J. McFarland et al.   COMMUNICATIONS OF THE ACM