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 ...

This chaotic-looking "double pendulum" follows a large number of rules that govern its motion. Researchers have trained AI to take data from its movements to uncover simple equations that successfully ...

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 ...

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 ...

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 ...