Event-Related Desynchronization Induced by Tactile Imagery: an EEG Study | eNeuro
Frontiers | Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces
Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network | Neural Computing and Applications
Improving the Performance of an EEG-Based Motor Imagery Brain Computer Interface Using Task Evoked Changes in Pupil Diameter | PLOS ONE
Motor imagery and EEG-based control of spelling devices and neuroprostheses - ScienceDirect
Six classes of motor imagery EEG signals in the upper limb | IEEE DataPort
Figure 2 from Motor Imagery EEG Signal Processing and Classification Using Machine Learning Approach | Semantic Scholar
Frontiers | A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
Examples of EEG features in motor decoding. EEG features from one of... | Download Scientific Diagram
OpenBCI crossing swords with motor imagery | OpenBCI Community
Brain Sciences | Free Full-Text | Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm
Integrating simultaneous motor imagery and spatial attention for EEG-BCI control | bioRxiv
EEG Spatial patterns and frequency bands used to classify motor imagery... | Download Scientific Diagram
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces | Scientific Data
Frontiers | EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis | PLOS ONE
New insights in motor imagery from real-time EEG feedback during fMRI
EEG dataset of 7-day Motor Imagery BCI | IEEE DataPort
Dynamic Classification of Time-embedded EEG with Sequential Hypothesis Testing (SHT) for Brain-Computer Interface | Weixuan 'Vincent' Chen
Precise estimation of human corticospinal excitability associated with the levels of motor imagery-related EEG desynchronization extracted by a locked-in amplifier algorithm | Journal of NeuroEngineering and Rehabilitation | Full Text
A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery | bioRxiv
![The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-374/1/fig-3-full.png "The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]")
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]
![EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2017/3983/1/fig-2-full.png "EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]")
EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]
Quantifying the role of motor imagery in brain-machine interfaces | Scientific Reports
The positions of the EEG electrodes for motor imagery experiment. | Download Scientific Diagram
Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
