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:
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 7 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆70Updated 2 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
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆79Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 6 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- ☆45Updated 6 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆72Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆77Updated 2 months ago
- ☆92Updated 4 years ago
- Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'☆26Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 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
- implementation of FBCSP algorithm☆27Updated 6 years ago
- ☆30Updated 3 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- Deep Learning pipeline for motor-imagery classification.☆64Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆145Updated 2 years ago
- ☆133Updated 3 years ago