FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding

EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification

(2021) Ce Zhang et al.   Journal of Neural Engineering

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

(2021) Phairot Autthasan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

(2020) Mamunur Rashid et al.   Frontiers in Neurorobotics

InceptionTime: Finding AlexNet for time series classification

(2020) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions

(2020) Ji-Hoon Jeong et al.   GigaScience

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

(2020) Kaishuo Zhang et al.   NEURAL NETWORKS

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

(2019) Min-Ho Lee et al.   GigaScience

Noninvasive neuroimaging enhances continuous neural tracking for robotic device control

(2019) B. J. Edelman et al.   Science Robotics

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

EEG Based Brain Computer Interface for Controlling a Robot Arm Movement Through Thought

(2018) R. Bousseta et al.   IRBM

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

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

Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients

(2018) Xiaokang Shu et al.   Frontiers in Neuroscience

Towards BCI-actuated smart wheelchair system

(2018) Jingsheng Tang et al.   Biomedical Engineering Online

Deep learning with convolutional neural networks for EEG decoding and visualization

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

Brain-computer interface boosts motor imagery practice during stroke recovery

(2015) Floriana Pichiorri et al.   ANNALS OF NEUROLOGY

Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke

(2015) Kai Keng Ang et al.   PROCEEDINGS OF THE IEEE