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89 search results found

Eeg Notebooks_v0.1 ⭐ 181

Previous version of eeg-notebooks

Deepeeg ⭐ 180

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Analyzing_neural_time_series ⭐ 124

python implementations of Analyzing Neural Time Series Textbook

Eeg Classification ⭐ 91

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

Neuroscience_tutorials ⭐ 90

Some tutorials for students of neuroscience

Openmiir ⭐ 81

a public domain dataset of EEG recordings for music imagery information retrieval

Deep Learning For Bci ⭐ 78

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

Pymindaffectbci ⭐ 55

Python SDK for high performance on-line Brain Computer Interface development.

Eegclassificationmcnn ⭐ 46

Solution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.

Neurodoro ⭐ 43

🍅 A dynamic brain-responsive pomodoro timer

Eegdenoisenet ⭐ 39

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

Ecobidas ⭐ 35

Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist

Eeg Grasp And Lift ⭐ 35

CNN to predict physical movements from brainwave readings

Dreem One Shot Detector

Erpscanr ⭐ 32

Automated meta-analysis of event-related potential (ERP) research.

Eeg Rsenet ⭐ 31

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Human Emotion Analysis Using Eeg From Deap Dataset ⭐ 31

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

Dl Eeg Playground ⭐ 30

Deep Learning EEG Playground

Time Series Medicine ⭐ 30

Code and documentation for seizure prediction from EEG data

Motor Imagery Tasks Classification Using Eeg Data ⭐ 29

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

Eeg Emotion Recognition ⭐ 27

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

Python code for the Riemannian Procrustes Analysis (RPA) method

Oscillationmethods ⭐ 25

Methodological considerations for analyzing and interpreting neural oscillations.

Human Computer Interaction ⭐ 23

国科大人机交互大作业：多模态情感识别

Plotting_openbci_cyton_data_live ⭐ 21

A jupyter notebook that explains how to plot OpenBCI data

Neuroml2020 ⭐ 20

Machine Learning in Neuroimaging data, Fall 2020.

Eeg_emotion_classifier_deap ⭐ 20

EEG Emotion classification using the DEAP pre-processed data

Eeg Transformer ⭐ 18

Analysis of Transformer attention in EEG signal classification

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

P300 Speller ⭐ 18

A BCI speller based on P300 detection using a 1D CNN architecture.

Deep_learning_fmri_eeg ⭐ 18

Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

Multi Task Cnn Eeg Emotion ⭐ 17

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

Artifact Subspace Reconstruction for Python

Cmorlet Tensorflow ⭐ 16

A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.

Feature Extraction Eeg ⭐ 16

Feature Extraction of Mental Load EEG signals

Course_eeg_ws2020 ⭐ 15

First EEG course in WS2020 in Stuttgart

Eeg_mi_dl ⭐ 15

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

Biosignal Emotions Bhs 2020 ⭐ 14

Electroencephalography Eeg Signal Classification Using Deep Learning ⭐ 13

A deep learning project to classify brainwave signals.

Eeg Decoding ⭐ 12

EEG decoding for an ultra low cost, real time BCI device based on the Espressif ESP32 running MicroPython.

CNN classifier to classify MI-EEG signals

Eeg_motor_imagery_gan ⭐ 12

This repository save my work about GAN applied to motor imagery eeg signals

Epileptic Seizure Detection ⭐ 12

Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients

Library for processing and analyizing EEG data, using tools and methods developped at ReichenbachLab

Pylossless ⭐ 11

🧠 EEG Processing pipeline that annotates continuous data

Eeg Bci Real Time Applications ⭐ 11

EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications

BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data

Eeg Analysis For Motor Imagery Application ⭐ 11

Bci_mi_wavelet_cnn ⭐ 10

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

Cm Graph ⭐ 10

The Python Toolbox for multichannel EEG-EMG connectivity analysis. This package is an extention of mne-tool with the focus on the application of the newest graph and network theory. It is first developped to investigate stroke and autism spectral disorder(ASD) via EEG-EMG coherence marker

Concise Agile Flexible EEG data analyis toolbox

Bci P300 ⭐ 10

BCI project using Deep Learning to decode EEG signals.

All-resolutions Inference for M/EEG in Python

Re Deep Convolution Neural Network And Autoencoders Based Unsupervised Feature Learning Of Eeg ⭐ 9

Bsc Thesis Project ⭐ 9

A Deep Learning Based approach for diagnosis of Schizophrenia using EEG brain recordings

Deap Jrp Emotion Classification ⭐ 9

Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient and high accuracy method for emotion classification using EEG data regardless of number of channels.

Neonatalseizuredetection ⭐ 9

Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.

Analyse_opmeg ⭐ 9

Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox

Eegmapping ⭐ 8

Mapping periodic & aperiodic activity in EEG data.

Eeg_microstates ⭐ 8

EEG microstate analysis

Brainflow Notebooks ⭐ 8

A remake of the NeurotechX EEG-Notebooks for the OpenBCI headset.

Mt Eeg Dataset ⭐ 8

Code for Mouse-Tracking EGI dataset preprocessing and primary analysis.

Eeg Chaos Kuramoto Neural Net ⭐ 8

EEG prediction using Chaos Theory, Dynamical Systems Theory, and neural networks

Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.

P300spellerbasedeegclassification ⭐ 8

This repository contains the code for classification of EEG Signals using P300 Speller Based BCI

Eeg Emotion Recognition ⭐ 8

This is a final project for my 2019 Winter course "Pattern Recognition".

Eeg Pyline ⭐ 8

EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.

Eeg_signalsclassification ⭐ 7

Preprocessing, analysis and classification of EEG signals into 4 classes.

selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data

Brain Computer Interface Cybathlon2020 ⭐ 7

Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race

Epilepsy_siezure_prediction ⭐ 7

Using EEG data, we train a classifier to determine whether the brain is in a good or bad state for learning

Novicevsexpert ⭐ 7

Replication package, supplementary materials, and analysis pipeline for our FSE'22 EEG study.

Extracting Image From Eeg Signals ⭐ 6

Multivariate Multiscale Permutation Entropy ⭐ 6

Apply multivariate multiscale permutation entropy transform to multivariate time series

For accessing to the dataset, please send your short bio and objective of the study to Dr.Theerawit Wilaiprasitporn (theerawit dot w at vistec dot ac dot th)

Snn Seizure Prediction ⭐ 6

Predict seizures from EEGs using two models of spiking neural networks

group sequential tests for neuroimaging

Mikulan_et_al_2020 ⭐ 5

Simultaneous human intracerebral stimulation and HD-EEG: ground-truth for source localization methods - Scripts and usage demonstration

Chbmit Seizure Prediction ⭐ 5

Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.

Neuro Ai Interface ⭐ 5

Use deep neural networks to synthesize the Neuroscore for evaluating Generative Adversarial Networks

Mindreader ⭐ 5

Tensor_cdl ⭐ 5

Repository to run the Tensor Convolutional Dictionary Learning with FISTA (TC-FISTA) algorithm

Multichannel event-related time-series regression modeling for EEG, MEG, and sensor array data

A high-level EEG Python library for all kinds of EEG inverse solutions

Biomedical Imaging ⭐ 5

Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection

Example Analyses ⭐ 5

Example analyses making extensive use of nelpy.

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