xiangzhang1015 / EEG_Shape_ReconstructionLinks
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
☆21Updated 3 years ago
Alternatives and similar repositories for EEG_Shape_Reconstruction
Users that are interested in EEG_Shape_Reconstruction are comparing it to the libraries listed below
Sorting:
- ☆41Updated 5 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆51Updated 5 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆14Updated 3 years ago
- PyTorch implementation of TSception☆79Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆93Updated 3 years ago
- ☆31Updated 6 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- Combine fMRI/EEG to learn about music/auditory processing☆15Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated 2 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆52Updated 3 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆61Updated 2 years ago
- Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race☆15Updated 2 years ago
- EEG Features to be extract from raw data.☆27Updated 8 years ago
- Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients☆62Updated 4 years ago
- ☆28Updated 2 months ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆93Updated 3 months ago
- ☆10Updated 4 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆166Updated 3 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- ☆19Updated 4 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆167Updated 5 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆22Updated 3 years ago
- ☆38Updated 4 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago