Mapping the space of altered states of consciousness

A toolbox for implementing Network Control Theory analyses in python

This is the main repository of the Virtual Aging Brain (VAB). The code will be available soon.

Code for computing cross-correlation (lags) and autocorrelation (intrinsic timescales) from multivariate time series. Optimized for fMRI data

Spectral embedding using Laplacian Eigenmaps

Implemented Laplacian Eigenmaps

Code supporting 'Geometric constraints on human brain function'

NMA deep learning course

Repository containing the codes to reproduce the work

Software platform for clinical neuroimaging studies

Framework for the reproducible classification of Alzheimer's disease using machine learning

Predict sequential data with recurrent neural networks with biological wiring

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Nuisance removal tool for fMRI data

Code for paper in Cell Reports 2020

Code for paper Deco et al in Nature Human Behaviour 2020

Heterogenous Neural Model (HNM) for large scale modelling of brain activity.

The HTML Presentation Framework

Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

list of brain networks ready to be downloaded for your brainhacking pleasure

Code to compute and test structural decoupling index (Preti & Van De Ville 2019)

EEG microstate analysis

**This project has been moved to https://git.fmrib.ox.ac.uk/open-science/Open-WIN-Community**

Code for Deco et al 2018 Current Biology

MATAB toolbox for Multivariate Data Analysis