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cross-frequency-coupling-graph-fourier-transform-mi-decoding

csp_bcilab

MATLAB Toolbox for Brain-Computer Interface Research

csp_fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

cueweighting_mmn

This is an EEG experiment investigating the encoding of acoustic dimensions in dimension-based statistical learning using mismatch negativity (MMN)

data_ssvep

Matlab code for proccesing EEG signals.

demo_jansenritmodel

This is a demo script of neural mass model simulation

denoise-graph-laplacian

dl-based_stg_feature_selection

HIWI work: Reimplementation by TensorFlow

dmf_deco2018

dominant-sets-clustering

A tutorial on how to use graph-theoretic clustering to detect sparse-firing neurons in spike-sorting

dominant_set_extraction

A multiplex-aware approach based on community detection to identify functional interactions among EEG brain rhythms

ds004022

OpenNeuro dataset available at https://openneuro.org/datasets/ds004022

dynamicbc

Dynamic brain connectome analysis toolbox

dynasim

DynaSim toolbox for modeling and simulating dynamical systems

dynasim-krishnan-2016-model

DynaSim mechanism files for reproduction of (Krishnan et al., 2016)

dynbrainss

dyncoalia

eci_cnn

eeg-datasets

A list of all public EEG-datasets

eegmotor_csp

empirical-fourier-decomposition

Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis

entropy-weighted-nmf

Code for entropy weighted nonnegative matrix factorization

extended-thalamo-cortical-neural-mass-model-for-m-eeg

extended thalamo-cortical neural mass model for M/EEG

famvemd

Fast and adaptive multivariate empirical mode decomposition (FA-MVEMD) contains a family of functions aimed at decomposing data sets of 1, 2 and 3 dimensional nature. The algorithm is based on the work presented in M. R. Thirumalaisamy, P. J. Ansell, ‘Fast and Adaptive Empirical Mode Decomposition for Multidimensional, Multivariate Signals’, IEEE Signal Processing Letters, Vol. 25, No. 10, 2018.

fast-gft

Demo souce code for Fast approximate eigenspaces with application to fast graph Fourier transforms

featureselection

[INTERSPEECH 2012] Feature Selection in High-Dimensional Classification

finger

Demo codes for fast von Neumann graph entropy computation method published at ICML 2019

fucone

fwr-csp

Feature Weighting and Regularization for Common Spatial Patterns in EEG-based Motor Imagery Brain-Computer Interfaces

gft