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.

Coupling and Causality in Complex Systems



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


Laura Marzetti / Department of Neuroscience,
Università degli Studi "G. d'Annunzio", Chieti - Pescara, 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


© Siegfried Werth


The interdisciplinary conference Coupling and Causality in Complex

Systems (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


For questions regarding the conference feel free to contact us via






Zülpicher Straße 47b

50674 Cologne

25-27 September


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 2

Synchronization II               
Silvia Daun

Session 3
Coupled oscillators I               
Phil Holmes

Session 4
Coupled oscillators II               
Michael Rosenblum

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Further topics of interest for the conference include, amongst others, research and methods development on: effective and functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy.


To register, please send an email with the subject "registration" to Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 100 EUR (50 EUR for students), after July 10 the registration fee will be 200 EUR (100 EUR for students).

Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a 10-15min talk. However, poster sessions will be

provided with ample time for discussions. For your submission, please use the contact form below. Please make sure to include the full name of all authors and corresponding affiliations (in Authors: author 1, affil 1a, affil 1b; author 2, affil 2). You may use LaTeX commands in the abstract.


Session 5       
Phase coupling                       
Laura Marzetti


Session 6       
Network structures II               
Ankit Khambati

Session 7
Bayesian networks               
David Gross


Session 8       
Granger causality I             
Jörg Breitung




Abstract submission

Session 9       
Granger causality II               
Esther Florin

Session 10      
Causal complex network measures               
Jakob Runge

Important Dates:


Abstract deadline:
June 01, 2017

Author Notification:
mid June, 2017

Early-bird registration

until July 10, 2017