Pinned Repositories
arl-eegmodels
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
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
BCI-2021-Riemannian-Geometry-workshop
Riemannian Geometry workshop at vBCI Meeting 2021
BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
CM-graph
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
EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
GNNPapers
Must-read papers on graph neural networks (GNN)
Neural-Networks-for-time-series-analysis
Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
pytorch_geometric
Graph Neural Network Library for PyTorch
nataliamolano's Repositories
nataliamolano/hyperMusic
Masters project. Our objective is to characterize a mapping of the neural substrates of social interaction using advanced signal processing and graph/information theory
nataliamolano/Neural-Networks-for-time-series-analysis
Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
nataliamolano/Surface-Laplacian
Apply surface laplacian transform to mne Epochs objects
nataliamolano/eegpreproc
Preprocessing EEG data: Matlab code pipeline and pdf manual
nataliamolano/pyica
python code for Independent Component Analysis
nataliamolano/Python_EEG_Filters
nataliamolano/wyrm
Python toolbox for Brain-Computer Interfacing (BCI)