Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review

Emotion recognition from spatiotemporal EEG representations with hybrid convolutional recurrent neural networks via wearable multi-channel headset

(2020) Jingxia Chen et al.   COMPUTER COMMUNICATIONS

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks

(2020) Li Wang et al.   Biomedical Signal Processing and Control

Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

(2020) Ji-Hoon Jeong et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm

(2020) Debashis Das Chakladar et al.   Biomedical Signal Processing and Control

A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface

(2020) Francesco Ferracuti et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network

(2020) Jungchan Cho et al.   SENSORS

Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network

(2020) Kai Zhang et al.   SENSORS

The combination of brain-computer interfaces and artificial intelligence: applications and challenges

(2020) Xiayin Zhang et al.   Annals of Translational Medicine

Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers

(2020) Lidia Ghosh et al.   APPLIED SOFT COMPUTING

A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition

(2020) Saedeh Abbaspour et al.   SENSORS

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

(2020) Li Zhang et al.   Frontiers in Neuroscience

Hybrid deep neural network using transfer learning for EEG motor imagery decoding

(2020) Ruilong Zhang et al.   Biomedical Signal Processing and Control

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

(2019) Mengxi Dai et al.   SENSORS

A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing

(2019) D. Kuhner et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

(2019) Dalin Zhang et al.   IEEE SIGNAL PROCESSING LETTERS

The history of BCI: From a vision for the future to real support for personhood in people with locked-in syndrome

(2019) Andrea Kübler   Neuroethics

A novel hybrid deep learning scheme for four-class motor imagery classification

(2019) Zhang Ruilong et al.   Journal of Neural Engineering

Deep learning-based electroencephalography analysis: a systematic review

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

Motor imagery EEG recognition with KNN-based smooth auto-encoder

(2019) Xianlun Tang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications

(2019) Zina Li et al.   Computational Intelligence and Neuroscience

Classification of Drowsiness Levels Based on a Deep Spatio-Temporal Convolutional Bidirectional LSTM Network Using Electroencephalography Signals

(2019) Ji-Hoon Jeong et al.   Brain Sciences

Ternary-task convolutional bidirectional neural turing machine for assessment of EEG-based cognitive workload

(2019) Weizheng Qiao et al.   Biomedical Signal Processing and Control

Combining deep generative and discriminative models for Bayesian semi-supervised learning

(2019) Jonathan Gordon et al.   PATTERN RECOGNITION

A Survey of Optimization Methods From a Machine Learning Perspective

(2019) Shiliang Sun et al.   IEEE Transactions on Cybernetics

A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machine

(2018) Jingcong Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Online EEG artifact removal for BCI applications by adaptive spatial filtering

(2018) Roberto Guarnieri et al.   Journal of Neural Engineering

Deep Convolutional Neural Networks for mental load classification based on EEG data

(2018) Zhicheng Jiao et al.   PATTERN RECOGNITION

Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework

(2018) Hao Chao et al.   Computational Intelligence and Neuroscience

EEG-Based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model

(2018) Pallavi Kaushik et al.   IEEE SENSORS JOURNAL

Internet of Things Meets Brain–Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity

(2018) Xiang Zhang et al.   IEEE Internet of Things Journal

Deep learning with convolutional neural networks for EEG decoding and visualization

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

Detecting large-scale networks in the human brain using high-density electroencephalography

(2017) Quanying Liu et al.   HUMAN BRAIN MAPPING

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis

(2016) Sheng-Hsiou Hsu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Removing speech artifacts from electroencephalographic recordings during overt picture naming

(2015) Camillo Porcaro et al.   NEUROIMAGE

The PREP pipeline: standardized preprocessing for large-scale EEG analysis

(2015) Nima Bigdely-Shamlo et al.   Frontiers in Neuroinformatics

Brain-computer interfaces for communication and control

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

The relationship between the visual evoked potential and the gamma band investigated by blind and semi-blind methods

(2011) Camillo Porcaro et al.   NEUROIMAGE

Contradiction in universal and particular reasoning

(2009) Maria Teresa Medaglia et al.   HUMAN BRAIN MAPPING

How many hidden layers and nodes?

(2009) D. Stathakis   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hand somatosensory subcortical and cortical sources assessed by functional source separation: An EEG study

(2008) Camillo Porcaro et al.   HUMAN BRAIN MAPPING