ThreePoundUniverse / TSMMF-ESWALinks
This is the official implementation of ESWA - A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI
☆23Updated 9 months ago
Alternatives and similar repositories for TSMMF-ESWA
Users that are interested in TSMMF-ESWA are comparing it to the libraries listed below
Sorting:
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆27Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆14Updated 4 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆232Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆182Updated 4 months ago
- Public EEG Dataset☆66Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆98Updated 5 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆217Updated 3 weeks ago
- Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification☆83Updated 10 months ago
- code for LMDA☆85Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆21Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆295Updated last week
- ☆69Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆30Updated 6 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆79Updated last month
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆114Updated 2 months ago
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆487Updated 2 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 8 months ago
- 使用的pytorch编写的eegnet代码,方便现在进行调试☆27Updated 2 years ago
- Deep Learning with EEG.☆23Updated last month
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆222Updated 2 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
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆66Updated 2 years ago
- ☆73Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- The official code for paper entitled "TRCA-Net: Using TRCA filters to boost the SSVEP classification with convolutional neural network" a…☆13Updated 2 years ago
- ☆38Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆81Updated 5 months ago