berdakh / eeg-pytorchLinks
EEG motor-imagery data analysis using MNE and Pytorch
☆32Updated 3 years ago
Alternatives and similar repositories for eeg-pytorch
Users that are interested in eeg-pytorch are comparing it to the libraries listed below
Sorting:
- Youtube codes☆26Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆78Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral visi…☆36Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆92Updated 2 years ago
- ☆129Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆223Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆148Updated last year
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 9 months ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 6 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Material for Pybrain 2020 MNE-Python workshop☆133Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- Feature Extraction of Mental Load EEG signals☆57Updated 8 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆103Updated 2 years ago
- ☆82Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆64Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- Some tutorials for students of neuroscience☆115Updated 2 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆88Updated 4 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆71Updated 11 months ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated last month