BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250702T233404EDT-3485EZANA6@132.216.98.100 DTSTAMP:20250703T033404Z DESCRIPTION:Model-free inference of network structural features from observ ed dynamics\n\nMarc Timme\, TU Dresden\n Tuesday October 5\, 12-1pm\n Zoom L ink:聽https://mcgill.zoom.us/j/85428056343\n\nAbstract:聽The dynamics of bio logical networks enables the function of a variety of systems we rely on e very day\, from gene and protein regulation to metabolic circuits and neur al networks in the brain. Understanding and predicting network function re lies on suitable models\, yet it remains unclear how to extract key featur es of networks if only time series data from (some) units are available. H ere we report on recent progress on model-free inference of network struct ural features from observed dynamics. First\, we demonstrate how to identi fy the number N of dynamical variables making up a network -- arguably its most fundamental property -- from recorded time series of only a small su bset of n