Network Dynamics as an Inverse Problem --Detecting network size and topology from time series

Date

Oct 19, 2023

Time

11:00 AM - 12:00 PM

Speaker

Marc Timme

Affiliation

Institute for Theoretical Physicsand Center for Advancing Electronics Dresden (cfaed), TU Dresden

Series

MPI-CBG Thursday Seminar

Language

en

Main Topic

Biologie

Host

Carl Modes

Description

The dynamics of biological networks enables the function of a variety of systems, including metabolic, gene-regulatory and neural circuits. To date, it remains unclear how to extract key features of networks if only time series data from (some) units are available. Here we report on recent progress on detecting structural features from observed dynamics. First, we demonstrate how to identify the number N of dynamical variables making up a network -- arguably its most fundamental property -- from recorded time series of only a small subset of n<N variables. Second, we sketch approaches to uncover network topological features from observed nodal time series data. We demonstrate first steps of applying the general theoretical methods developed to simulated models of biological and artifical systems. This is work with Jose Casadiego, Mor Nitzan, Hauke Haehne, Georg Boerner and others. [1] Topical Review: Marc Timme & Jose Casadiego, J. Phys. A 47:343001 (2014). [2] Casadiego et al., Nature Comm. 8:2192 (2017). [3] Nitzan et al., Science Adv. 3:e1600396 (2017). [4] Haehne et al., Phys. Rev. Lett. 122:158301 (2019).

Last modified: Oct 20, 2023, 7:40:35 AM