activity
20242026
most citedCanard cascading in networks with adaptive mean-field coupling

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.DS2026

Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach

Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4

Most existing seizure detection algorithms require extensive pre-processing of the data and rely on heuristic or currently unexplainable machine learning approaches. These approach…

cs.GT2026

The Headless Firm: How AI Reshapes Enterprise Boundaries

Tassilo Klein, Sebastian Wieczorek

The boundary of the firm is determined by coordination cost. We argue that agentic AI induces a structural change in how coordination costs scale: in prior modular systems, integra…

math.DS2026

Singular basins in multiscale systems: tunneling between stable states

Serhiy Yanchuk, Sebastian Wieczorek, Hildeberto Jardón-Kojakhmetov +1

Real-world systems often evolve on different timescales and possess multiple coexisting stable states. Whether or not a system returns to a given stable state after being perturbed…

math.DS2025

Classifying absence seizure generation mechanisms: A critical transitions framework

Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4

Understanding how the brain switches from normal activity to an epileptic seizure is essential for improving seizure therapy, yet the underlying seizure generation mechanisms remai…

nlin.AO2024★ 1 cited

Canard cascading in networks with adaptive mean-field coupling

Juan Balzer, Rico Berner, Kathy Lüdge +3

Canard cascading (CC) is observed in dynamical networks with global adaptive coupling. It is a fast-slow phenomenon characterized by a recurrent sequence of fast transitions betwee…