相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)
A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling
Zhenxing Hu et al.
NEUROIMAGE (2022)
M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge
Gan Huang et al.
NEUROIMAGE (2022)
A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface
Jun Ma et al.
SCIENTIFIC DATA (2022)
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding
Chun-Shu Wei et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2021)
Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs
Thanh-Tung Trinh et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2021)
Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
Xiaolin Hong et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2021)
EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability
Takashi Nishimoto et al.
JOURNAL OF NEURAL ENGINEERING (2020)
Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
Simanto Saha et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2020)
Reduce brain computer interface inefficiency by combining sensory motor rhythm and movement-related cortical potential features
Tengjun Liu et al.
JOURNAL OF NEURAL ENGINEERING (2020)
BCI for stroke rehabilitation: motor and beyond
Ravikiran Mane et al.
JOURNAL OF NEURAL ENGINEERING (2020)
Prediction of Human Inhibition Brain Function with Inter-Subject and Intra-Subject Variability
Rupesh Kumar Chikara et al.
BRAIN SCIENCES (2020)
Inter-Subject Variability of Skull Conductivity and Thickness in Calibrated Realistic Head Models
Marios Antonakakis et al.
NEUROIMAGE (2020)
Transfer Learning Based on Regularized Common Spatial Patterns Using Cosine Similarities of Spatial Filters for Motor-Imagery BCI
Yilu Xu et al.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS (2019)
EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
Min-Ho Lee et al.
GIGASCIENCE (2019)
Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface
Ahmed M. Azab et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2019)
Latent variable method for automatic adaptation to background states in motor imagery BCI
Nikolay Dagaev et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain-Computer Interface
Simanto Saha et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2018)
A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update
F. Lotte et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Interpreting and Utilising Intersubject Variability in Brain Function
Mohamed L. Seghier et al.
TRENDS IN COGNITIVE SCIENCES (2018)
Regularized common spatial patterns with subject-to-subject transfer of EEG signals
Minmin Cheng et al.
COGNITIVE NEURODYNAMICS (2017)
Transfer Learning in Brain-Computer Interfaces
Vinay Jayaram et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2016)
Performance variation in motor imagery brain-computer interface: A brief review
Minkyu Ahn et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
A subject-independent pattern-based Brain-Computer Interface
Andreas M. Ray et al.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE (2015)
Temporal structure of motor variability is dynamically regulated and predicts motor learning ability
Howard G. Wu et al.
NATURE NEUROSCIENCE (2014)
Motor variability is not noise, but grist for the learning mill
David J. Herzfeld et al.
NATURE NEUROSCIENCE (2014)
Electrophysiological Correlation Patterns of Resting State Networks in Single Subjects: A Combined EEG-fMRI Study
Matthias C. Meyer et al.
BRAIN TOPOGRAPHY (2013)
Transferring Subspaces Between Subjects in Brain-Computer Interfacing
Wojciech Samek et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
Unsupervised adaptation of electroencephalogram signal processing based on fuzzy C-means algorithm
Guangquan Liu et al.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2012)
Towards a Cure for BCI Illiteracy
Carmen Vidaurre et al.
BRAIN TOPOGRAPHY (2010)
Application of Covariate Shift Adaptation Techniques in Brain-Computer Interfaces
Yan Li et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Variability in fMRI: A re-examination of inter-session differences
SM Smith et al.
HUMAN BRAIN MAPPING (2005)
Variability of fMRI activation during a phonological and semantic language task in healthy subjects
ML Seghier et al.
HUMAN BRAIN MAPPING (2004)