Coupling and Causality in Complex Systems
Complex systems such as the human brain, Earth’s climate and economy are characterized by a multitude of coupled processes on different spatial
and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field.
The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they
use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations.
Program
We will have different sessions with differing topics and each session will be opened by one of the
invited speakers. Here is a preliminary version of our program:
Session 1
Synchronization I
Arkady Pikovsky
Session 3
Coupled oscillators I
Phil Holmes
Session 5
Phase coupling
Laura Marzetti
Session 7
Bayesian networks
David Gross
Session 9
Granger causality II
Esther Florin
Session 2
Synchronization II
Silvia Daun
Session 4
Coupled oscillators II Michael Rosenblum
Session 6
Network structures
Ankit Khambati
Session 8
Granger causality I
Jörg Breitung
Session 10
Causal complex
network measures
Jakob Runge
Further topics of interest for the conference include, amongst others, research and methods development on: effective and functional connectivity, (partial directed) coherence, network topology, correlation in recurrent networks, (directed) graph-theoretic measures, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy.
© Siegfried Werth
Speakers:
Jörg Breitung
Macroeconomic Policy Institute,
University of Cologne, Germany
David Gross
Institute of Theoretical Physics,
University of Cologne, Germany
Philip Holmes
Mechanical and Aerospace Engineering,
Princeton Neuroscience Institute, Princeton, USA
Ankit Khambhati
Department of Bioengineering,
University of Pennsylvania, USA
Michael Lechner
Swiss Institute for Empirical Economic Research, University of St. Gallen, Switzerland
Laura Marzetti
Department of Neuroscience,
Università degli Studi "G. d'Annunzio", Italy
Arkady Pikovsky
Institute of Physics and Astronomy,
University Potsdam, Germany
Michael Rosenblum
Institute of Physics and Astronomy,
University Potsdam, Germany
Jakob Runge
The Grantham Institute for Climate Change,
Imperial College London, UK
Organization
The interdisciplinary conference Coupling and
Causality in ComplexSystems (C3S) is hosted by the Competence Area 3: Quantitative Modeling
of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience
and Psychology, Heinrich-Heine
University Düsseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich.
Scientific Organizing Committee
Silvia Daun
Institute of Zoology, University of Cologne, Germany; Department of Cognitive Neuroscience,
Research Center Jülich, Germany
Esther Florin
Institute of Clinical Neuroscience and Psychology, Düssseldorf, Germany
Joachim Gross
Center for Cognitive Neuroimaging, Glasgow, UK
Michael von Papen
Institute of Geophysics & Meteorology,
Cologne, Germany
Contact
For questions regarding the conference feel
free to contact us via c3s-conference@uni-koeln.de.
