GitWR / DreamNet
This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has recently been accepted by the 16th Asian Conference on Computer Vision (ACCV2022).
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DreamNet
- ☆10Updated 2 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 3 years ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated last year
- A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface☆14Updated 3 years ago
- Classification of EEG signals into silence vs listening☆19Updated 2 years ago
- Matlab code for SBLEST algorithm☆37Updated 8 months ago
- CNN-Former model with EEG-ME for SSVEP classification☆11Updated 2 months ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆50Updated 3 years ago
- ☆11Updated last year
- M/EEG brain age benchmark paper☆24Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆47Updated 2 years ago
- Open-source software package (HERMES) for the analysis of functional and effective brain connectivity from neurological data (e.g. MEG, E…☆12Updated 5 years ago
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆10Updated 3 months ago
- Four commonly used operations on the symmetric positive definite manifold☆25Updated 2 years ago
- Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting …☆22Updated 4 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 2 years ago
- Operations for CNN on manifolds.☆13Updated 3 years ago
- ☆55Updated last year
- Temporal information enhanced EEGNet☆13Updated last year
- ☆11Updated last year
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆15Updated 2 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆47Updated 9 months ago
- Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.☆11Updated 10 months ago
- Library for processing and analyizing EEG data, using tools and methods developped at ReichenbachLab☆13Updated last month
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆16Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆40Updated last year
- Mike X Cohen lecturelets on Analyzing Neural Time Series Data: Theory and Practice http://mikexcohen.com/lectures.html☆12Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆16Updated 2 years ago
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆23Updated 2 years ago