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。A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
Claudia Sannelli et al.
PLOS ONE (2019)
Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task
Josef Faller et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Optimizing the Performance of the Visual P300-Speller Through Active Mental Tasks Based on Color Distinction and Modulation of Task Difficulty
Qi Li et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2019)
Structural Variability in the Human Brain Reflects Fine-Grained Functional Architecture at the Population Level
Stephen Smith et al.
JOURNAL OF NEUROSCIENCE (2019)
The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability
Richard F. Betzel et al.
NEUROIMAGE (2019)
Non-invasive, Brain-controlled Functional Electrical Stimulation for Locomotion Rehabilitation in Individuals with Paraplegia
Aurelie Selfslagh et al.
SCIENTIFIC REPORTS (2019)
Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
Simanto Saha et al.
FRONTIERS IN NEUROINFORMATICS (2019)
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
B. J. Edelman et al.
SCIENCE ROBOTICS (2019)
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
Fatemeh Fahimi et al.
JOURNAL OF NEURAL ENGINEERING (2019)
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)
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification
Antonio Maria Chiarelli et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke
N. N. Johnson et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Neural Population Dynamics Underlying Motor Learning Transfer
Saurabh Vyas et al.
NEURON (2018)
Interpreting and Utilising Intersubject Variability in Brain Function
Mohamed L. Seghier et al.
TRENDS IN COGNITIVE SCIENCES (2018)
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
Serafeim Perdikis et al.
PLOS BIOLOGY (2018)
Reaction Time Predicts Brain-Computer Interface Aptitude
Sam Darvishi et al.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2018)
Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms
Mads Jochumsen et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2017)
Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates
Anatoly Vasilyev et al.
NEUROPSYCHOLOGIA (2017)
NEURAL PLASTICITY DURING MOTOR LEARNING WITH MOTOR IMAGERY PRACTICE: REVIEW AND PERSPECTIVES
Celia Ruffino et al.
NEUROSCIENCE (2017)
Proprioceptive Feedback Facilitates Motor Imagery-Related Operant Learning of Sensorimotor β-Band Modulation
Sam Darvishi et al.
FRONTIERS IN NEUROSCIENCE (2017)
Brain plasticity following MI-BCI training combined with tDCS in a randomized trial in chronic subcortical stroke subjects: a preliminary study
Xin Hong et al.
SCIENTIFIC REPORTS (2017)
Enhanced inter-subject brain computer interface with associative sensorimotor oscillations
Simanto Saha et al.
HEALTHCARE TECHNOLOGY LETTERS (2017)
Transfer Learning in Brain-Computer Interfaces
Vinay Jayaram et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2016)
Exploration of joint redundancy but not task space variability facilitates supervised motor learning
Puneet Singh et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Sensory Plasticity in Human Motor Learning
David J. Ostry et al.
TRENDS IN NEUROSCIENCES (2016)
SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation
Xingang Zhao et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)
Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface
Laura Acqualagna et al.
PLOS ONE (2016)
Resting-state sensorimotor rhythm (SMR) power predicts the ability to up-regulate SMR in an EEG-instrumental conditioning paradigm
Johanna Louise Reichert et al.
CLINICAL NEUROPHYSIOLOGY (2015)
Leveraging anatomical information to improve transfer learning in brain-computer interfaces
Mark Wronkiewicz et al.
JOURNAL OF NEURAL ENGINEERING (2015)
Efficient resting-state EEG network facilitates motor imagery performance
Rui Zhang et al.
JOURNAL OF NEURAL ENGINEERING (2015)
Effects of robotically modulating kinematic variability on motor skill learning and motivation
Jaime E. Duarte et al.
JOURNAL OF NEUROPHYSIOLOGY (2015)
Performance variation in motor imagery brain-computer interface: A brief review
Minkyu Ahn et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
Neuroanatomical correlates of brain-computer interface performance
Kazumi Kasahara et al.
NEUROIMAGE (2015)
Learning a common dictionary for subject-transfer decoding with resting calibration
Hiroshi Morioka et al.
NEUROIMAGE (2015)
Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery
Catharina Zich et al.
NEUROIMAGE (2015)
The wandering brain: Meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes
Kieran C. R. Fox et al.
NEUROIMAGE (2015)
INTER- AND INTRA-SUBJECT VARIABILITY OF MOTOR CORTEX PLASTICITY FOLLOWING CONTINUOUS THETA-BURST STIMULATION
A. -M. Vallence et al.
NEUROSCIENCE (2015)
Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals
Andres Ubeda et al.
PLOS ONE (2015)
Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain-Computer Interfaces
Fabien Lotte
PROCEEDINGS OF THE IEEE (2015)
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces
Siamac Fazli et al.
PROCEEDINGS OF THE IEEE (2015)
Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns
Camille Jeunet et al.
PLOS ONE (2015)
Inter- and Intra-Subject Variability of Neuromagnetic Resting State Networks
Vincent Wens et al.
BRAIN TOPOGRAPHY (2014)
Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy
G. R. Mueller-Putz et al.
JOURNAL OF NEURAL ENGINEERING (2014)
An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy
Darren J. Leamy et al.
JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)
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)
Bayesian common spatial patterns for multi-subject EEG classification
Hyohyeong Kang et al.
NEURAL NETWORKS (2014)
Closed-Loop Decoder Adaptation Shapes Neural Plasticity for Skillful Neuroprosthetic Control
Amy L. Orsborn et al.
NEURON (2014)
Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters
Heung-Il Suk et al.
PLOS ONE (2014)
Brain-Machine Interface in Chronic Stroke Rehabilitation: A Controlled Study
Ander Ramos-Murguialday et al.
ANNALS OF NEUROLOGY (2013)
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)
Detection of movement-related cortical potentials based on subject-independent training
Imran Khan Niazi et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2013)
Psychological predictors of SMR-BCI performance
Eva Maria Hammer et al.
BIOLOGICAL PSYCHOLOGY (2012)
Individual variability in functional connectivity predicts performance of a perceptual task
Antonello Baldassarre et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)
Structural and Functional Bases for Individual Differences in Motor Learning
Valentina Tomassini et al.
HUMAN BRAIN MAPPING (2011)
Critical issues in state-of-the-art brain-computer interface signal processing
Dean J. Krusienski et al.
JOURNAL OF NEURAL ENGINEERING (2011)
Emerging concepts for the dynamical organization of resting-state activity in the brain
Gustavo Deco et al.
NATURE REVIEWS NEUROSCIENCE (2011)
A Collaborative Brain-Computer Interface for Improving Human Performance
Yijun Wang et al.
PLOS ONE (2011)
Using brain-computer interfaces and brain-state dependent stimulation as tools in cognitive neuroscience
Ole Jensen et al.
FRONTIERS IN PSYCHOLOGY (2011)
Towards a Cure for BCI Illiteracy
Carmen Vidaurre et al.
BRAIN TOPOGRAPHY (2010)
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting
Haiping Lu et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Application of Covariate Shift Adaptation Techniques in Brain-Computer Interfaces
Yan Li et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals
Trent J. Bradberry et al.
JOURNAL OF NEUROSCIENCE (2010)
Neurophysiological predictor of SMR-based BCI performance
Benjamin Blankertz et al.
NEUROIMAGE (2010)
Can structure predict function in the human brain?
Christopher J. Honey et al.
NEUROIMAGE (2010)
The brain and its resting state activity-Experimental and methodological implications
Georg Northoff et al.
PROGRESS IN NEUROBIOLOGY (2010)
Two views of brain function
Marcus E. Reichle
TRENDS IN COGNITIVE SCIENCES (2010)
Predicting BCI performance to study BCI illiteracy
Thorsten Dickhaus et al.
BMC NEUROSCIENCE (2009)
Composite Common Spatial Pattern for Subject-to-Subject Transfer
Hyohyeong Kang et al.
IEEE SIGNAL PROCESSING LETTERS (2009)
A Paradigm Shift in Functional Brain Imaging
Marcus E. Raichle
JOURNAL OF NEUROSCIENCE (2009)
Neural Interface Technology for Rehabilitation: Exploiting and Promoting Neuroplasticity
Wei Wang et al.
Physical Medicine and Rehabilitation Clinics of North America (2009)
Predicting human resting-state functional connectivity from structural connectivity
C. J. Honey et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)
Visuo-motor learning with combination of different rates of motor imagery and physical practice
Nadia Allami et al.
EXPERIMENTAL BRAIN RESEARCH (2008)
Brain-computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation
Bruce H. Dobkin
JOURNAL OF PHYSIOLOGY-LONDON (2007)
Motor learning: its relevance to stroke recovery and neurorehabilitation
JW Krakauer
CURRENT OPINION IN NEUROLOGY (2006)
Phantom movements and pain - An MRI study in upper limb amputees
M Lotze et al.
BRAIN (2001)
Potential role of mental practice using motor imagery in neurologic rehabilitation
PL Jackson et al.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2001)
Optimal spatial filtering of single trial EEG during imagined hand movement
H Ramoser et al.
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING (2000)
分享论文
