robintibor / high-gamma-dataset
☆69Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for high-gamma-dataset
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 years ago
- A tensorflow implementation for EEGLearn☆77Updated 5 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆154Updated 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 …☆124Updated 5 years ago
- ☆129Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- CNN classifier to classify MI-EEG signals☆47Updated 4 years ago
- ☆40Updated 2 years ago
- Deep Learning Models for Brain Computer Interfaces☆31Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆74Updated 6 years ago
- ☆27Updated 6 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- ☆65Updated 5 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆66Updated 4 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆84Updated last year
- ☆35Updated 6 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆35Updated 2 months ago
- ☆43Updated 5 years ago
- ☆30Updated 4 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆41Updated 5 years ago
- ☆72Updated 3 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆124Updated 4 years ago
- implementation of FBCSP algorithm☆23Updated 5 years ago
- Learning Representations From EEG With Deep Recurrent-Convolutional Neural Networks☆16Updated 4 years ago
- ☆15Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago