21 results found Sort:

Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
Created 2021-08-26
392 commits to master branch, last one 28 days ago
42
501
unknown
18
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Created 2021-07-25
302 commits to master branch, last one 12 days ago
115
428
bsd-3-clause
19
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
Created 2018-12-13
367 commits to master branch, last one 5 months ago
CS198-96: Intro to Neurotechnology @ UC Berkeley
Created 2016-12-31
144 commits to master branch, last one 2 years ago
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
This repository has been archived (exclude archived)
Created 2021-07-30
28 commits to main branch, last one 5 months ago
31
162
unknown
5
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with...
Created 2020-11-03
30 commits to master branch, last one 2 years ago
43
136
gpl-3.0
9
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
Created 2020-11-10
223 commits to develop-refactor branch, last one about a year ago
4
106
mit
3
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Created 2024-05-03
19 commits to main branch, last one 2 months ago
27
105
other
10
An R package for processing and plotting of electroencephalography (EEG) data
Created 2017-03-18
927 commits to main branch, last one about a month ago
This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the ...
Created 2024-08-13
13 commits to main branch, last one 3 months ago
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved S...
Created 2019-03-07
12 commits to main branch, last one 3 years ago
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
Created 2021-12-15
39 commits to main branch, last one about a year ago
9
48
unknown
5
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
Created 2022-09-27
17 commits to main branch, last one about a year ago
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
Created 2020-03-02
11 commits to master branch, last one 3 years ago
5
44
unknown
5
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
Created 2020-11-25
9 commits to main branch, last one about a year ago
Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
Created 2020-09-28
5 commits to main branch, last one about a year ago
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
Created 2021-10-14
13 commits to main branch, last one 8 days ago
ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), ...
Created 2023-11-12
6 commits to main branch, last one 5 months ago
This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer...
Created 2024-02-06
12 commits to main branch, last one 10 months ago
This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".
Created 2022-03-16
25 commits to main branch, last one 2 years ago