Klaus Lehnertz

Professor

University of Bonn

Germany

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Professor Klaus Lehnertz is a faculty member at the University of Bonn in Germany. His research focuses on complex systems, particularly in the areas of brain network dynamics, critical transitions in networked systems, and data-driven models. His recent publications explore topics such as the functional importance of brain backbones, synchronization dynamics, and seizure forecasting in neurological contexts.

Articles (18)

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2025

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (8)

Mohammad Reza Rahimi Tabar

Carl von Ossietzky Universität Oldenburg

GERMANY

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Levin Kuhlmann

MONASH UNIVERSITY

AUSTRALIA

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William Stacey

Associate Professor

University of Michigan

UNITED STATES

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Marc Goodfellow

Senior Lecturer

University of Exeter

UNITED KINGDOM

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Hitten P. Zaveri

Yale University

UNITED STATES

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Ulrike Feudel

GERMANY

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Nicolás Rubido

University of Aberdeen

UNITED KINGDOM

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Ralph Gregor Andrzejak

Full Professor

Universitat Pompeu Fabra

SPAIN

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Klaus Lehnertz

Research Interests

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About

Articles (18)

Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep

Emergence of a tipping subnetwork during a critical transition in networked systems: A new avenue to extreme events

Introduction to Focus Issue: Data-driven models and analysis of complex systems

Stable Yet Destabilised: Towards Understanding Brain Network Dynamics in Psychogenic Disorders

Revealing Higher-Order Interactions in High-Dimensional Complex Systems: A Data-Driven Approach

Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems

Synchronization dynamics of phase oscillators on power grid models

Generalized synchronization in the presence of dynamical noise and its detection via recurrent neural networks

Seizure forecasting: Where do we stand?

Data-driven reconstruction of stochastic dynamical equations based on statistical moments

A perturbation-based approach to identifying potentially superfluous network constituents

Ordinal methods for a characterization of evolving functional brain networks

Ordinal methods for a characterization of evolving functional brain networks

What Models and Tools can Contribute to a Better Understanding of Brain Activity?

A straightforward edge centrality concept derived from generalizing degree and strength

Network structure from a characterization of interactions in complex systems

Stimulation-related modifications of evolving functional brain networks in unresponsive wakefulness

Editorial: Network physiology, insights into the brain system: 2021

Collaborators (8)

Mohammad Reza Rahimi Tabar

Levin Kuhlmann

William Stacey

Marc Goodfellow

Hitten P. Zaveri

Ulrike Feudel

Nicolás Rubido

Ralph Gregor Andrzejak

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