Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

Complex evolutionary dynamics embodies the study of systems in which a multitude of interacting components undergo non‐linear and non‐equilibrium changes over time. This research area spans ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

A team of researchers led by Professor Sebastian Deindl at Uppsala University has developed a pioneering method that vastly improves the ability to observe and analyse complex biological processes at ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

Juniper Lovato, Director of Outreach for Complex Systems, University of VermontLimits of individual consent and models of distributed consent in online social networksPersonal data is not discrete in ...