jinglescode / ssvep-multi-task-learningLinks
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.
☆37Updated 3 years ago
Alternatives and similar repositories for ssvep-multi-task-learning
Users that are interested in ssvep-multi-task-learning are comparing it to the libraries listed below
Sorting:
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆79Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆69Updated 2 years ago
- ☆45Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆74Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆143Updated 2 years ago
- ☆30Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'☆26Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 2 years ago
- Matlab codes for the Online SSVEP-based BCI using Riemannian Geometry algorithm☆53Updated 7 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆74Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- ☆87Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- code for LMDA☆86Updated 2 years ago
- ☆38Updated 5 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- ☆133Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆99Updated 6 months ago
- ☆73Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 6 months ago
- Deep Learning pipeline for motor-imagery classification.☆64Updated 3 years ago
- Pytorch implementation of EEGNet.☆51Updated 3 years ago
- Classification toolbox for ERP and SSVEP based BCI data☆56Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- ☆39Updated last year
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago