hamzaamrani / EEG-to-Text-DecodingLinks
☆27Updated last year
Alternatives and similar repositories for EEG-to-Text-Decoding
Users that are interested in EEG-to-Text-Decoding are comparing it to the libraries listed below
Sorting:
- EEG-Based Emotion Recognition☆65Updated last year
- Deep Learning pipeline for motor-imagery classification.☆64Updated 3 years ago
- ZuCo Reading Task Classification Benchmark using EEG and Eye-Tracking Data☆34Updated 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.…☆187Updated 5 months ago
- ☆47Updated 3 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆238Updated this week
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆99Updated 6 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆256Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆152Updated last month
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆85Updated 7 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 9 months ago
- ☆38Updated 7 months ago
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆518Updated 3 months ago
- The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch☆22Updated last year
- code for LMDA☆87Updated 2 years ago
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆118Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆175Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆90Updated 3 years ago
- ☆31Updated 2 weeks ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆83Updated last week
- The codes that I implemented during my B.Sc. project.☆23Updated 3 years ago
- NeurIPS 24, decoding video from EEG signals☆116Updated 8 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆178Updated last week
- ☆100Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆15Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆83Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆28Updated last year