EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

(2018) F Lotte et al.   Journal of Neural Engineering

Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space

(2018) Ioannis Xygonakis et al.   Computational Intelligence and Neuroscience

Deep learning with convolutional neural networks for EEG decoding and visualization

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

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines

(2017) Na Lu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

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

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

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

(2016) Zhichuan Tang et al.   SENSORS

Investigating Driver Fatigue versus Alertness Using the Granger Causality Network

(2015) Wanzeng Kong et al.   SENSORS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Brain-Computer Interfaces in Medicine

(2012) Jerry J. Shih et al.   MAYO CLINIC PROCEEDINGS

Brain Computer Interfaces, a Review

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

A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG

(2011) Wei Wu et al.   NEUROIMAGE