Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network

Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

(2021) Lichao Xu et al.   Cognitive Neurodynamics

A novel multi-scale convolutional neural network for motor imagery classification

(2021) Mouad Riyad et al.   Biomedical Signal Processing and Control

EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system

(2020) Minmin Zheng et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks

(2020) Kai Zhang et al.   Computational and Mathematical Methods in Medicine

Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study

(2020) Marc Sebastián-Romagosa et al.   Frontiers in Neuroscience

Deep learning for motor imagery EEG-based classification: A review

(2020) Ali Al-Saegh et al.   Biomedical Signal Processing and Control

MI-EEGNET: A novel Convolutional Neural Network for motor imagery classification

(2020) Mouad RIYAD et al.   JOURNAL OF NEUROSCIENCE METHODS

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

(2020) Kaishuo Zhang et al.   NEURAL NETWORKS

A Shared Control Strategy for Reach and Grasp of Multiple Objects Using Robot Vision and Noninvasive Brain–Computer Interface

(2020) Yang Xu et al.   IEEE Transactions on Automation Science and Engineering

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

(2019) Mengxi Dai et al.   SENSORS

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

(2019) Guanghai Dai et al.   Journal of Neural Engineering

Deep learning models for brain machine interfaces

(2019) Lachezar Bozhkov et al.   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

(2019) He He et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

(2018) Paolo Zanini et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

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

Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail

(2016) Vinay Jayaram et al.   IEEE Computational Intelligence Magazine

Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery

(2013) Laurent Bonnet et al.   IEEE Transactions on Computational Intelligence and AI in Games

Brain Computer Interfaces, a Review

(2012) Luis Fernando Nicolas-Alonso et al.   SENSORS