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The Top 23 Neural Eeg Open Source Projects

Open source projects categorized as Neural Eeg
Categories > Science > Eeg
Eeg Dl ⭐ 563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
total releases 10most recent commit a year ago
Eeglearn ⭐ 518
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
most recent commit 4 years ago
Neurora ⭐ 130
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
dependent packages 1total releases 150most recent commit a year agopypi neurora} Downloads
Analyzing_neural_time_series ⭐ 124
python implementations of Analyzing Neural Time Series Textbook
most recent commit 2 years ago
Mtrf Toolbox ⭐ 63
A MATLAB Package for Relating Neural Signals to Continuous Stimuli
most recent commit 4 months ago
P300 Cnnt ⭐ 52
1D Convolutional Neural Networks for P300 detection from EEG signals
most recent commit a year ago
Fbcnet ⭐ 43
FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
most recent commit a year ago
De_cnn ⭐ 42
This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)
most recent commit a year ago
Mneflow ⭐ 31
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
total releases 4most recent commit 7 months ago
Eegmotorimagery ⭐ 24
EEG motor imagery classification using convolutional neural networks
most recent commit a year ago
Sift ⭐ 22
SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
most recent commit 7 months ago
Rgnn ⭐ 21
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
most recent commit 4 years ago
Ssvep Neural Generative Models ⭐ 21
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 SSVEP Classification
most recent commit 3 years ago
Signal2image Modules In Deep Neural Networks For Eeg Classification ⭐ 19
most recent commit 3 months ago
Deep_learning_fmri_eeg ⭐ 18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
most recent commit 9 months ago
Eeg_convolutional_neural_net ⭐ 12
A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.
most recent commit 6 years ago
Ijcnn ⭐ 12
This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"
most recent commit 5 years ago
Imagined Speech ⭐ 11
Classifying syllables in Imagined Speech using EEG
most recent commit 9 years ago
Pacmeg ⭐ 10
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
most recent commit 4 years ago
Sleep Apnea ⭐ 9
Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events
most recent commit a year ago
Syncnet ⭐ 8
Targeting EEG/LFP synchrony with neural nets
most recent commit 5 years ago
Itc2017 ⭐ 7
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
most recent commit 7 years ago
Snn Seizure Prediction ⭐ 6
Predict seizures from EEGs using two models of spiking neural networks
most recent commit 5 years ago
The 4 Latest Releases In Neural Eeg Open Source Projects
Neural_py_eeg_feature_set ⭐ 5
NEURAL_py: a neonatal EEG feature set in python
total releases 3latest release July 26, 2022most recent commit 2 years ago
Mneflow ⭐ 31
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
total releases 4latest release May 19, 2022most recent commit 7 months ago
Eeg Dl ⭐ 563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
total releases 10latest release May 13, 2020most recent commit a year ago
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