ClarenceKe's 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
BeamformerSourceImaging
Brainstorm plug-ins for MEG and EEG source imaging, including (1) maximum contrast beamformer (MCB) for the use in localization of brain sources, (2) spatiotemporal imaging of linearly-related source components (SILSC) for the use in identification of sources linearly correlated to the activity of a seed, and (3) beamformer-based imaging of phase-amplitude coupling (BIPAC) for the use in identification of sources coupled to seed activity.
CoSMoMVPA
A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave
EEG-Datasets
A list of all public EEG-datasets
Gumbel-Channel-Selection
Perform EEG Channel selection with Gumbel-softmax
mat_py_mat
Examples and tooling for using FOOOF within a Matlab workflow.
MEKT
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
MultiSource_Beamformer
Multiple Constrained Minimum Variance (MCMV) beamformer
MVPA-in-Python
Implementation of Multivariate Pattern Analysis Methods for EEG & MEG Signals in Python to Study the Brain Function in Visual Perception
notBoxPlot
plots things that are not boxplots
OpenMATB
OpenMATB: A Multi-Attribute Task Battery promoting task customization, software extendability and experiment replicability
PsychoPyParadigms
Experimental Paradigms written for PsychoPy
rASRMatlab
A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.
SeqSleepNet
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
sleep_transfer_learning
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
spectral_slopes_reliability
Dataset and code for comparing different methods of estimating the slope of the EEG power spectrum at rest and during a motor task.
TRCA-SSVEP
Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).