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About this event

Web site…
12 May4 Jul 2014
Dresden, Germany
Registration deadline
Feb 28, 2014
Jörn Davidsen (University of Calgary), Peter Grassberger (FZ Jülich), Björn Schelter (University of Aberdeen)
Contact address
Ms. Claudia Poenisch
Max Planck Institute for the Physics of Complex Systems
Noethnitzer Str. 38


Causality, Information Transfer and Dynamical Networks

Inferring cause-effect relationships from observations is one of the fundamental challenges in natural sciences and beyond.
This seminar and workshop aim to bring together a diverse group of scientists from various disciplines to increase communication
between different fields as well as to stimulate novel research work and to initiate new cross-disciplinary collaborations.

Topics include

- Estimating causal influences, interactions and connectivity from general multivariate recordings
- Information measures for detecting causality
- Permutation entropy and its applications
- Dynamical networks and their functionality
- Scale-dependent properties of dynamical networks
- Feedback between dynamics and connectivity
- Information transmission, neuronal avalanches and the critical brain
- From dynamical network structure to brain function
- Inferring network structure from calcium signals and spike trains
- Information theoretic approaches to sequence alignment and genetic network inference
- Information flow in genetic networks
- Self-similar networks for information transfer in geosciences
- Inference of climate networks