direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Attention!

On 20.8.2018, Dr. habil. Philipp Hövel started a new position as lecturer (above the bar) in the Department of Applied Mathematics [1] at University College Cork (UCC) [2], 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 [3] .

Empirical networks and neurodynamics

Lupe [4]

Coordinator: Prof. Dr. Philipp Hövel [5] (Gastprofessor until 19.8.2018)

Associated with the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin) [6]

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.

Research area

Lupe [7]

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 [8]. 

Secretariat

Irena Koschinski

Room: EW 743

Phone: +49 30 314 28446

Contact: irena.koschinski(at)tu-berlin.de [9]

Consultation hours (Sprechstunde): Mo through Fr from 10:00 to 15:00

News

  • Call for Satellites: International Conference on Network Science 2018 (NetSci 2018) [10]
    Deadline: December 11, 2017

  • Call for Papers: Individual and Collective Human Mobility: Description, Modelling, Prediction [11] (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 networks. Welcome!

    In collaboration with: Dr. Vesna Vuksanovic [12] (University of Aberdeen), Prof. Dr. John-Dylan Haynes [13] (Charité Berlin), Prof. Danielle Bassett, PhD [14] (University of Pennsylvenia)
    Duration: until December 2018

  • Jorge Luiz [15] und Philipp Lorenz [16] 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 networks" [17]

    In collaboration with: INSERM/Universite Pierre et Marie Curie [18]
    Duration: January 2016 to December 2017
    Project coordinator in France: Dr. Vittoria Colizza [19]

  • Start of a 4-year project Control of networks with time-varying topologies and applications to epidemiology [20] in the framework of Collaborative Research Center 910: Control of self-organizing systems [21]. 

    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 systems" [22]

    In collaboration with National Center for Scientific Research “Demokritos” (Athens, Greece) [23] and University of Patras (Greece) [24]
    Duration: January 2013 to December 2014, extended until December 2015
    Project coordinator in Greece: Dr. Ioanna Hizanidis

    [25]
  • Poster award "Honorable Mention" at Fourth Biennial Conference on Resting State / Brain Connectivity [26]:
    V. Vuksanovic, P. Hövel: Role of remote synchronization and symmetry in indirect interactions in functional correlations between distant cortical regions [27]

  • Forschungshighlight: Functional connectivity of distant cortical regions: role of remote synchronization and symmetry in interactions [28]

    Referenz: 
    NeuroImage 97, 1 (2014). [29]

  • Continuation of the project "Virtual presence in seminars [30] and tools for e-teaching [31]" in the framwork of the German-Russian Interdisciplinary Science Center (G-RISC) [32]. Information about this and previous G-RISC projects can be found here [33].

  • Reserach highlight: When Nonlocal Coupling between Oscillators Becomes Stronger: Patched Synchrony or Multichimera States [34]

    Reference: Phys. Rev. Lett. 110, 224101 (2013) [35].

  • Research highlight: Experimental observation of chimeras in coupled-map lattices

    [36]Reference: Nature Physics 8, 658 (2012) [37].

    See also: Physics Today 65, 17 (October 2012) [38], Physics Today (September 6, 2012) [39], TU intern (October 2012, in German [40]), and TU press release (in German) [41]

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. [42]

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 [43] and list of projects (BCCN Berlin) [44]

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 [45] and list of projects (BCCN Berlin) [46]

 

------ Links: ------

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Copyright TU Berlin 2008