brainhack-school2020 / BHS-AuditoryMultimodalLinks
Combine fMRI/EEG to learn about music/auditory processing
☆16Updated 3 years ago
Alternatives and similar repositories for BHS-AuditoryMultimodal
Users that are interested in BHS-AuditoryMultimodal are comparing it to the libraries listed below
Sorting:
- Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.☆22Updated 4 years ago
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆79Updated 7 months ago
- EEG online experiment GUI☆19Updated 2 years ago
- ☆30Updated 7 months ago
- Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using th…☆34Updated 3 years ago
- ☆42Updated 5 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆14Updated 4 years ago
- Deep learning model for EEG artifact removal☆81Updated 3 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆75Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆57Updated 7 months ago
- EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications☆27Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆70Updated 7 months ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆37Updated 8 months ago
- Applying Convolutional Neural Networks to EEG signal Analysis☆47Updated 4 years ago
- ☆34Updated 10 months ago
- EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)☆29Updated 5 years ago
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- PyTorch implementation of TSception☆83Updated 3 years ago
- A tensorflow implementation for EEGLearn☆78Updated 6 years ago
- A library with tools for EEG analysis☆69Updated 3 months ago
- ☆34Updated 2 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆41Updated last year
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆44Updated 3 years ago
- An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms☆215Updated 2 years ago
- ☆108Updated 6 years ago
- the implementation of the ASAD_DenseNet☆28Updated 10 months ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆74Updated last year
- a public domain dataset of EEG recordings for music imagery information retrieval☆189Updated 8 years ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆47Updated 2 years ago