SionAn / MICCAI2024-ResTLLinks
☆14Updated last year
Alternatives and similar repositories for MICCAI2024-ResTL
Users that are interested in MICCAI2024-ResTL are comparing it to the libraries listed below
Sorting:
- ☆38Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆29Updated last year
- ☆41Updated 2 months ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆58Updated 2 months ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆84Updated 3 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆24Updated last year
- code for LMDA☆85Updated 2 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆14Updated 2 years ago
- ☆32Updated last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆50Updated last year
- ☆41Updated last year
- [MICCAI 2024] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition☆61Updated 11 months ago
- ☆68Updated 2 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆65Updated 6 months ago
- [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
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 8 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Updated 2 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆232Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆98Updated 5 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆170Updated last year
- ☆101Updated last year
- ☆21Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18Updated 3 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆18Updated 2 years ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆25Updated last year
- ☆26Updated last year
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆114Updated 2 months ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆190Updated 6 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆44Updated 11 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆217Updated 3 weeks ago