meiyor / Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals
Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu
☆47Updated 3 months ago
Alternatives and similar repositories for Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals:
Users that are interested in Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals are comparing it to the libraries listed below
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆67Updated 3 months ago
- ☆30Updated last month
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆53Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 5 months ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆40Updated 2 weeks ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆67Updated 4 months ago
- ☆38Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated last week
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆54Updated 2 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆47Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion reco…☆11Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆65Updated 2 years ago
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆13Updated 11 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 6 months ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago