On 20.8.2018, Dr. habil. Philipp Hövel started a new position as lecturer (above the bar) in the Department of Applied Mathematics  at University College Cork (UCC) , Ireland.Dort vertritt er das Fachgebiet "Complex Networks and Nonlinear Dynamics".
The websites of the Hövel group at TU Berlin will no longer be updated.
For further information, please the visit the Department of Applied Mathematics at UCC  .
Empirical networks and neurodynamics
- © Philipp Hövel
Coordinator: Prof. Dr. Philipp Hövel
 (Gastprofessor until 19.8.2018)
Associated with the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin) 
The research area is located in the field of nonlinear dynamics and control with strong connections to neuroscience and excitable system. Special attention is given to the phenomenon of synchronization, effects of time delay, network dynamics, stochastic dynamical systems as well as pattern formation and nonlinear excitation waves in neural systems.
- © P. Hövel, TU Berlin
We analyze empirical networks, for instance, of livestock trade or fMRI measurements of the human brain. We use structures extracted from these data in our numerical simulations of nonlinear models for the investigation of dynamical behavior (spread of disease and neuronal dynamics, respectively). A special focus is put on temporal networks with time-dependent couplings. We study the controllability of time-varying networks, develop novel control schemes and test these on empirical networks. Our methods include measures from nonlinear dynamics, network science, bifurcation analysis and control theory. See also flyer of the Hövel group .
Room: EW 743
Phone: +49 30 314 28446
Consultation hours (Sprechstunde): Mo through Fr from 10:00 to 15:00
for Satellites: International Conference on Network
Science 2018 (NetSci 2018) 
Deadline: December 11, 2017
- Call for Papers: Individual and
Collective Human Mobility: Description, Modelling, Prediction
 (EPJ Data Science)
Deadline: December 31, 2017
- Dr. Aline Viol joins the group as a post-doc
in May/June 2017, after a new DPG approved research proposal on neural
In collaboration with: Dr. Vesna Vuksanovic  (University of Aberdeen), Prof. Dr. John-Dylan Haynes  (Charité Berlin), Prof. Danielle Bassett, PhD  (University of Pennsylvenia)
Duration: until December 2018
- Jorge Luiz
 und Philipp Lorenz  join the group as PhD
students in September 2016. Welcome!
- Start of
a DAAD-supported exchange program with the
title "Optimal strategies for disease control on temporal
In collaboration with: INSERM/Universite Pierre et Marie Curie 
Duration: January 2016 to December 2017
Project coordinator in France: Dr. Vittoria Colizza 
- Start of a 4-year
project Control of networks with time-varying topologies and
applications to epidemiology  in the framework of
Collaborative Research Center 910: Control of
self-organizing systems .
Funding period: January 1 2015 to December 31, 2018
- Extension of a DAAD-supported exchange program with
the title "Chimera in dynamical networks of nonliner
In collaboration with National Center for Scientific Research “Demokritos” (Athens, Greece)  and University of Patras (Greece) 
Duration: January 2013 to December 2014, extended until December 2015
Project coordinator in Greece: Dr. Ioanna Hizanidis
award "Honorable Mention" at Fourth Biennial
Conference on Resting State / Brain Connectivity :
V. Vuksanovic, P. Hövel: Role of remote synchronization and symmetry in indirect interactions in functional correlations between distant cortical regions 
- Forschungshighlight: Functional
connectivity of distant cortical regions: role of remote
synchronization and symmetry in interactions 
Referenz: NeuroImage 97, 1 (2014). 
- Continuation of the project "Virtual presence in
seminars  and tools for e-teaching " in the framwork of
the German-Russian Interdisciplinary Science Center (G-RISC) .
Information about this and previous G-RISC projects can be found here
- Reserach highlight: When Nonlocal
Coupling between Oscillators Becomes Stronger: Patched Synchrony or
Multichimera States 
Reference: Phys. Rev. Lett. 110, 224101 (2013) .
- Research highlight: Experimental
observation of chimeras in coupled-map lattices
Reference: Nature Physics 8, 658 (2012) .
See also: Physics Today 65, 17 (October 2012) , Physics Today (September 6, 2012) , TU intern (October 2012, in German ), and TU press release (in German) 
Project B10 (SFB910): Control of networks with time-varying topologies and applications to epidemiology
Many networks exhibit time-dependent topologies with edges existing for some time or weights subject to temporal fluctuations. This is particularly important, if the evolution of the network topology acts on a timescale similar to the local node dynamics, and forms profound challenges for the control of coupled elements. Our objective is to develop a framework for the investigation of the dynamics on temporal networks. We address (i) the controllability of networks, (ii) apply novel control designs to time-dependent network topologies, and (iii) test our findings on high-resolution datasets, e.g. animal trade, with important applications in epidemiology.
See also list of projects of SFB 910. 
Project A13: Dynamics of inhomogeneous neural systems with nonlocal coupling
We investigate the cooperative dynamics of nonlocally coupled neural populations. The individual systems display oscillatory local dynamics, e.g., above a Hopf bifurcation associated with excitability type II. Inhomogeneity of the local elements is introduced in the network via a distribution of system's parameters. Varying the network parameters - such as coupling radius and strength - and in dependence upon the variability of the system's parameters, we analyze spatio-temporal dynamics of coupled systems. Coherent solutions, their stability, and mechanisms of the transition from coherence to incoherence are investigated. Especially, we discuss the occurrence of chimera states that exhibit spatial coexistence of regular synchronized and irregular spatially incoherent regions. This will establish the universality of the coherence-incoherence bifurcation and contributes to a better understanding of synchronization in neural systems.
See also extended project description  and list of projects (BCCN Berlin) 
Project B7: Large-scale neural model for functional networks of the human cortex
We will address resting brain fluctuations in fMRI data combining experimental and theoretical approach. Based on empirically derived large-scale functional networks of the human cortex we will use numerical simulations to test hypothesis that (i) indirect connections, (ii) interregional distance, and (iii) collective effects governed by network properties of the cortex play significant a role in generation of the resting state fluctuations.
See also extended project description  and list of projects (BCCN Berlin)