zhangzihan-is-good / ChiscoLinks
We constructed an EEG dataset based on imagined speech and performed semantic decoding on it.
☆24Updated 9 months ago
Alternatives and similar repositories for Chisco
Users that are interested in Chisco are comparing it to the libraries listed below
Sorting:
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated 2 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆182Updated 2 months ago
- code for LMDA☆84Updated 2 years ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆167Updated 2 months ago
- ☆67Updated last year
- This repo is created to provide some state-of-the-art (SOTA) deep learning-based classifier for SSVEP decoding.☆42Updated 7 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- ☆29Updated 3 years ago
- DDGCNN for ssvep☆15Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 3 months ago
- ☆71Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆89Updated 3 months ago
- ☆28Updated 2 years ago
- ☆42Updated 7 months ago
- ☆38Updated last week
- Public EEG Dataset☆63Updated 2 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆206Updated 11 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆212Updated 2 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated last year
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆22Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 2 years ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆71Updated 3 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- The codes that I implemented during my B.Sc. project.☆21Updated 3 years ago
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆136Updated last year
- Pytorch implementation of EEGNet.☆49Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆151Updated last year
- [ICLR 2023] Code for BrainBERT☆64Updated 3 weeks ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago