LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability

Priming cross-session motor imagery classification with a universal deep domain adaptation framework

(2023) Xin Zhang et al.   NEUROCOMPUTING

Copula-based transformer in EEG to assess visual discomfort induced by stereoscopic 3D

(2022) Yawen Zheng et al.   Biomedical Signal Processing and Control

EEG-ConvTransformer for single-trial EEG-based visual stimulus classification

(2022) Subhranil Bagchi et al.   PATTERN RECOGNITION

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

(2022) Yonghao Song et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition

(2022) Yi Ding et al.   IEEE Transactions on Affective Computing

A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level

(2020) Nadia Mammone et al.   NEURAL NETWORKS

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

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

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification

(2020) He Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning for Electroencephalogram (EEG) classification tasks: A review

(2019) Alexander Craik et al.   Journal of Neural Engineering

A novel approach of decoding EEG four-class motor imagery tasks via scout ESI and CNN

(2019) Yimin Hou et al.   Journal of Neural Engineering

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

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

EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

(2018) Ioulietta Lazarou et al.   Frontiers in Human Neuroscience

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

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

Sparse Support Matrix Machine

(2018) Qingqing Zheng et al.   PATTERN RECOGNITION

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

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

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Meeting brain–computer interface user performance expectations using a deep neural network decoding framework

(2018) Michael A. Schwemmer et al.   NATURE MEDICINE

Deep learning with convolutional neural networks for EEG decoding and visualization

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

Visual Saliency Detection Based on Multiscale Deep CNN Features

(2016) Guanbin Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Transferring Subspaces Between Subjects in Brain--Computer Interfacing

(2013) Wojciech Samek et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

(2011) Mahnaz Arvaneh et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Multiclass Brain–Computer Interface Classification by Riemannian Geometry

(2011) A. Barachant et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition

(2010) Ole Jensen et al.   Frontiers in Human Neuroscience

xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface

(2009) B. Rivet et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Probabilistic Neural-Fuzzy Learning System for Stochastic Modeling

(2008) Han-Xiong Li et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Review on solving the inverse problem in EEG source analysis

(2008) Roberta Grech et al.   Journal of NeuroEngineering and Rehabilitation