This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
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Updated
Jul 5, 2024 - Jupyter Notebook
This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
Functional connectivity and brain network analysis for motor imagery data in stroke patients
Attention temporal convolutional network for EEG-based motor imagery classification
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
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The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
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PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
Brain-Computer Interface for Navigation in Virtual Environments
Towards Domain Free Transformer for Generalized EEG Pre-training
Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python
Research on Brain Computer Interfaces.
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
Neuroexon presents a hybrid-BCI system that utilizes motor imagery (MI) and steady-state visual-evoked potential (SSVEP) to control a one degree of freedom arm exoskeleton which provides the user with haptic feedback.
Data and code related to BCI experiments with neurofeedback
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