usc-sail / mica-deep-mccaLinks
Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets
☆33Updated 6 years ago
Alternatives and similar repositories for mica-deep-mcca
Users that are interested in mica-deep-mcca are comparing it to the libraries listed below
Sorting:
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆48Updated 2 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 3 months ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Updated 5 years ago
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆28Updated 3 years ago
- Concise Agile Flexible EEG data analyis toolbox☆41Updated 7 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆52Updated 5 years ago
- Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021☆29Updated 3 years ago
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆44Updated 2 years ago
- PyTorch implementation of TSception☆83Updated 3 years ago
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Updated 4 years ago
- Library for processing and analyizing M/EEG data as recorded with naturalistic stimuli.☆15Updated 4 months ago
- EEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification☆17Updated 7 years ago
- ☆13Updated 2 years ago
- ☆38Updated 6 months ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 7 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆24Updated 3 years ago
- Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing☆25Updated 2 years ago
- Experiments on Self-Supervised Learning on EEG data☆19Updated 5 years ago
- Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆35Updated 4 years ago
- Self-supervised learning for EEG☆28Updated 5 years ago
- ☆36Updated 7 years ago
- Targeting EEG/LFP synchrony with neural nets☆17Updated 6 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆50Updated 2 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆63Updated 3 years ago
- EEG Features to be extract from raw data.☆28Updated 8 years ago
- ☆10Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- How EEG preprocessing shapes decoding performance☆16Updated 6 months ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago