berdakh / mne-codes
Youtube codes
☆26Updated last year
Alternatives and similar repositories for mne-codes:
Users that are interested in mne-codes are comparing it to the libraries listed below
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆124Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆141Updated last year
- Generate statistical features from Electroencephalographic data☆87Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆80Updated 7 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 7 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆216Updated 10 months ago
- Hands-on tutorial on deep learning for EEG classification.☆72Updated 10 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆67Updated 4 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- ☆43Updated 5 years ago
- Applying Convolutional Neural Networks to EEG signal Analysis☆32Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆39Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- EEG motor-imagery data analysis using MNE and Pytorch☆32Updated 3 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- EEG-based emotion classification using DEAP dataset☆131Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆39Updated last year
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆131Updated 6 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 years ago
- ☆77Updated 3 years ago
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 7 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago