no code implementations • 18 Jan 2023 • Lingbin Bian, Nizhuan Wang, Leonardo Novelli, Jonathan Keith, Adeel Razi
The method can robustly detect the group-level community structure of weighted functional networks that give rise to hidden brain states with an unknown number of communities and retain the variability of individual networks.
1 code implementation • 20 Jun 2021 • Leonardo Novelli, Adeel Razi
Edge time series are increasingly used in brain functional imaging to study the node functional connectivity (nFC) dynamics at the finest temporal resolution while avoiding sliding windows.
1 code implementation • 15 Jul 2020 • Leonardo Novelli, Joseph T. Lizier
Functional and effective networks inferred from time series are at the core of network neuroscience.
Neurons and Cognition Information Theory Social and Information Networks Information Theory Data Analysis, Statistics and Probability
1 code implementation • 9 Mar 2020 • Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier
Inferring linear dependence between time series is central to our understanding of natural and artificial systems.
Methodology Information Theory Information Theory Statistics Theory Data Analysis, Statistics and Probability Neurons and Cognition Applications Statistics Theory
2 code implementations • 7 Nov 2019 • Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier
The pairwise (or bivariate) transfer entropy from a source to a target node in a network does not depend solely on the local source-target link weight, but on the wider network structure that the link is embedded in.
Information Theory Social and Information Networks Information Theory Data Analysis, Statistics and Probability Neurons and Cognition