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mvfif

Multivariate Fast Iterative Filtering

na-memd-for-eeg

Material related to "Unmixing oscillatory brain activity by EEG source localization and empirical mode decomposition". Implementation of the noise-assisted multivariate empiral mode decomposition (NA-MEMD) method, builds on code from Rehman & Mandic (http://www.commsp.ee.ic.ac.uk/~mandic/research/emd.htm), see N. Rehman and D. P. Mandic, "Multivariate Empirical Mode Decomposition," Proceedings of the Royal Society A, vol. 466, no. 2117, pp. 1291-1302, 2010 and ur Rehman, N., & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421–2426. http://doi.org/10.1109/TSP.2011.2106779.

neural-mass-model-of-the-sleeping-thalamocortical-system

Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)

neural_mass_model_estimation

neural_mass_model_estimation_ukf

This repository contains the documentation relevant to the estimation of a neural mass model as well as the description of this procedure for recorded EEG.

nftsim

C++ library for simulation of multiscale neural field dynamics

nicotine-whole-brain

Codes used for the article "Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation"

nmflibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

nmm_akf

noise-influences-stimulation-effects

normalized-discriminant-graph-embedding-for-fault-diagnosis

Code for paper "Normalized Discriminant Graph Embedding for Fault Diagnosis"

open-computational-neuroscience-resources

A publicly-editable collection of open computational neuroscience resources

openbmi

An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms

optimal-network-control-energy-vs-age

An analysis of the relationship between the age of the brain and the optimal control energies of nodes in a networks modeled with structural connectivity matricies generated from DSI imaging of those brains.

p-laplacian-classification

peg

This function calculates permutation entropy for graphs (PEG).

perturbation_in_dynamical_models

Repository containing the codes to reproduce the work

plot-cortical-thickness-matlab

prodspectemp

来自光谱模板学习产品图

psilocybin_dynamic_fc

regularized-common-spatial-patterns

RCSP algorithm(based on matlab)

riemannian_ajd

The reposity contains code for data generation and method implementation of the manuscript “Revisiting Riemannian Geometry-based EEG decoding through Approximate Joint Diagonalization” submitted in NeuroImage, authored by Fotis P. Kalaganis, Nikos Laskaris, Vangelis P. Oikonomou, Spiros Nikolopoulos and Ioannis Kompatsiaris.

robust-manifold-denoising-graph-wavelet-transform-

This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an affinity graph and perform denoising on a set of N input points in R^n. Given an input set of points in any arbitrary dimension, an affinity graph is first created based on Tensor Voting, Local PCA or Euclidean distances, or the Tensor Voting Graph [3] . Then it performs denoising using a modified version of the recently proposed MFD algorithm[1]. The MFD algorithm uses the Spectral Graph Wavelet (SGW) transform in order to perform denoising directly in the spectral graph wavelet domain. Main function - Main_Demo provides an example of running our algorithm

scgl

Incremental multi-view spectral clustering with sparse and connected graph learning

separation-and-integration-of-dynamic-functional-networks

Code supporting 'The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance'

sgwt_toolbox

signal-adapted tight frames on graphs

single-channel-eeg-motor-intention-imagery-detector

A new method for accurate detection of movement intention from single channel EEG for online BCI

smoothness-signal-and-spectral-filtering-graph-learning-approaches-for-change-detection-algorithm

This repository contains graph learning models based on signal representation, namely signal smoothness and spectral filtering, for the graph learning stage of GBF-CD model, a change detection algorithm. In addition to modifying the graph learning stage, in this new model, we use graph cut segmentation instead of Nyström extension in order to reduc

sourcemesh

A multipurpose matlab-based MEG/EEG overlay & network plotter

spatial-focus-of-attention-csp

MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters