Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding

FB-CGANet: filter bank channel group attention network for multi-class motor imagery classification

(2022) Jiaming Chen et al.   Journal of Neural Engineering

An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces

(2022) Arunabha M. Roy   Biomedical Signal Processing and Control

Distinguishable spatial-spectral feature learning neural network framework for motor imagery-based brain–computer interface

(2021) Chang Liu et al.   Journal of Neural Engineering

A multiscale siamese convolutional neural network with cross-channel fusion for motor imagery decoding

(2021) Lili Shen et al.   JOURNAL OF NEUROSCIENCE METHODS

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks

(2021) Ji-Seon Bang et al.   IEEE Transactions on Neural Networks and Learning Systems

3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition

(2021) Shuaiqi Liu et al.   IEEE Journal of Biomedical and Health Informatics

Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination

(2020) Davide Borra et al.   NEURAL NETWORKS

Data Augmentation for Deep-Learning-Based Electroencephalography

(2020) Elnaz Lashgari et al.   JOURNAL OF NEUROSCIENCE METHODS

Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016

(2020) Dongrui Wu et al.   IEEE Transactions on Cognitive and Developmental Systems

EEG Dataset and OpenBMI Toolbox for Three BCI Paradigms: An Investigation into BCI Illiteracy

(2019) Min-Ho Lee et al.   GigaScience

Deep learning-based electroencephalography analysis: a systematic review

(2019) Yannick Roy et al.   Journal of Neural Engineering

HS-CNN: A CNN with hybrid convolution scale for EEG motor imagery classification

(2019) Guanghai Dai et al.   Journal of Neural 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

A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

(2019) Hao Wu et al.   Frontiers in Neuroscience

EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces

(2018) Vernon Lawhern et al.   Journal of Neural Engineering

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

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

An end-to-end deep learning approach to MI-EEG signal classification for BCIs

(2018) Hauke Dose et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning with convolutional neural networks for EEG decoding and visualization

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

A novel deep learning approach for classification of EEG motor imagery signals

(2016) Yousef Rezaei Tabar et al.   Journal of Neural Engineering

Time-Frequency Analysis of EEG Asymmetry Using Bivariate Empirical Mode Decomposition

(2011) Cheolsoo Park et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Multivariate empirical mode decomposition

(2009) N. Rehman et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES