Statistics for topic eeg
RepositoryStats tracks 518,991 Github repositories, of these 105 are tagged with the eeg topic. The most common primary language for repositories using this topic is Python (58). Other languages include: MATLAB (13), Jupyter Notebook (12)
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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
A curated list of awesome neuroscience libraries, software and any content related to the domain.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Attention temporal convolutional network for EEG-based motor imagery classification
Deep learning software to decode EEG, ECG or MEG signals
Deep learning software to decode EEG, ECG or MEG signals
A curated list of awesome neuroscience libraries, software and any content related to the domain.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
A multitaper spectral estimation toolbox implemented in Matlab, Python, and R
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Deep learning software to decode EEG, ECG or MEG signals
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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 mode...
A multitaper spectral estimation toolbox implemented in Matlab, Python, and R
Attention temporal convolutional network for EEG-based motor imagery classification
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
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 mode...
Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
Attention temporal convolutional network for EEG-based motor imagery classification
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG