berdakh / mne-codesLinks
This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to assist researchers and students in understanding and applying MNE-Python for various EEG data processing tasks.
☆27Updated 8 months ago
Alternatives and similar repositories for mne-codes
Users that are interested in mne-codes are comparing it to the libraries listed below
Sorting:
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- EEG-based emotion classification using DEAP dataset☆157Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆189Updated 6 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆318Updated 2 months ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆136Updated 4 years ago
- ☆70Updated 7 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆155Updated 6 months ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆358Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆164Updated 7 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆133Updated 5 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆85Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆277Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.☆24Updated 3 years ago
- ☆33Updated 4 years ago
- ☆108Updated 6 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆233Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆37Updated 8 months ago
- ☆45Updated 6 years ago
- Pytorch implementation of EEGNet.☆52Updated 3 years ago