robintibor / high-gamma-dataset
☆73Updated 2 years ago
Alternatives and similar repositories for high-gamma-dataset:
Users that are interested in high-gamma-dataset are comparing it to the libraries listed below
- Moved to https://github.com/TNTLFreiburg/braindecode!☆62Updated 4 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 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 …☆133Updated 6 years ago
- ☆129Updated 2 years ago
- ☆68Updated 6 years ago
- ☆28Updated 6 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- ☆43Updated 6 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆155Updated 5 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆68Updated 10 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆127Updated last year
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- Tutorial for data processing for hybrid BCI☆38Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- implementation of FBCSP algorithm☆25Updated 6 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- A tensorflow implementation for EEGLearn☆78Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- ☆80Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- ☆33Updated 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 8 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆171Updated 2 years ago
- ☆36Updated 7 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- seizure type classification using TUH dataset☆72Updated last year