wenhui0206 / NeuroGPT
Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"
☆165Updated last year
Alternatives and similar repositories for NeuroGPT
Users that are interested in NeuroGPT are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆145Updated 5 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆99Updated 2 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆128Updated 6 months ago
- Use DNNs to build encoding models of EEG visual responses.☆80Updated 2 months ago
- ☆136Updated 4 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆135Updated 3 months ago
- EEG to Language through LLMs☆51Updated 3 months ago
- [ICLR 2023] Code for BrainBERT☆52Updated 3 months ago
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆51Updated last week
- code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"☆195Updated 10 months ago
- ☆101Updated 4 years ago
- Code for the paper "A high-performance speech neuroprosthesis"☆155Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆122Updated last year
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆68Updated 2 years ago
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆358Updated last month
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆194Updated last year
- Tutorial for data processing for hybrid BCI☆38Updated 7 years ago
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆99Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆53Updated 2 months ago
- Deep learning model for EEG artifact removal☆70Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆258Updated last month
- ☆34Updated 2 months ago
- Generate statistical features from Electroencephalographic data☆90Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 5 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆559Updated 9 months ago
- EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]☆84Updated 2 months ago
- The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.☆34Updated last month
- Foundational model for the Neurosity Crown☆64Updated 10 months ago
- ☆50Updated 7 months ago
- ☆35Updated last year