gumpy-bci / gumpy-deeplearningLinks
Deep Learning Models for Brain Computer Interfaces
☆32Updated 7 years ago
Alternatives and similar repositories for gumpy-deeplearning
Users that are interested in gumpy-deeplearning are comparing it to the libraries listed below
Sorting:
- A Python 3 toolbox to develop Brain-Computer Interfaces (BCI)☆68Updated 6 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- ☆75Updated 3 years ago
- Matlab code for proccesing EEG signals.☆82Updated 7 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆68Updated 5 years ago
- A tensorflow implementation for EEGLearn☆78Updated 6 years ago
- ☆133Updated 3 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆74Updated last year
- Matlab codes for the Online SSVEP-based BCI using Riemannian Geometry algorithm☆53Updated 7 years ago
- MATLAB toolbox for Brain-Computer Interfacing (BCI)☆166Updated 5 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- Outdated, see new https://github.com/braindecode/braindecode☆332Updated 5 years ago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 …☆153Updated 4 months ago
- SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either cont…☆45Updated 5 years ago
- ☆69Updated 7 years ago
- Demonstrate the code used in "Using Recurrent Neural Networks for P300-Based Brain-Computer Interface"☆31Updated 7 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…☆44Updated 7 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- ☆36Updated 7 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆221Updated 8 years ago
- EEG motor imagery classification using convolutional neural networks