DFG-Sonderforschungsbereich 555 "Komplexe Nichtlineare Prozesse"
Fritz-Haber-Institut der Max-Planck-Gesellschaft, Hahn-Meitner-Institut, Humboldt-Universität zu Berlin, Otto-von-Guericke-Universität Magdeburg, Physikalisch-Technische Bundesanstalt, Technische Universität Berlin, Universität Potsdam
Seminar
"Complex Nonlinear Processes
in Chemistry and Biology"
Honorary Chairman: Gerhard Ertl
Organizers: | M. Bär, B. Blasius, H. Engel, M. Falcke, Th. Höfer, A. S. Mikhailov, S. C. Müller |
Address: | Richard-Willstätter-Haus, Faradayweg 10, 14195 Berlin-Dahlem. (Click here for a description how to get there.) |
For information please contact Oliver Rudzick, Tel. (030) 8413 5300, rudzick@fhi-berlin.mpg.de.
Hsuan-Yi Chen
(Department of Physics and Graduate School of Biophysics,
National Central University, Taiwan)
Models of nonequilibrium domains in biomembranes
[Abstract]
Ichiro Tsuda
(Research Institute for Electronic Science,
Hokkaido University, Sapporo, Japan)
Modeling episodic brain memory
[Abstract]
Marc-Thorsten Hütt
(School of Engineering and Science, International University Bremen IUB)
Exploring biological networks with dynamic probes
Abstract:
Understanding how the topology of a network regulates,
influences, constrains or even enhances the dynamics upon
it is becoming the key question of research on biological
networks. Within this talk I will qualitatively look at
this link between topology and dynamics and discuss a
few observations from implementing simple dynamic
processes on complex networks. By simulating such
processes on real networks we can, e.g., consider
them as noise-processing devices or ask for the
capacity of a network to host complex dynamic behavior.
The general method will be illustrated on metabolic
network and transcriptional regulatory networks.
In the case of metabolic networks, for example, we find
that their response is highly specific: Complex dynamics
are systematically reduced on metabolic networks compared
to networks with similar topologies. Already small
topological modifications substantially enhance the
capacity of a network to host complex dynamic behavior
and thus reduce its regularizing powers. This exceptionally
pronounced regularization of dynamics encoded in the
topology may explain, why steady-state behavior is ubiquitous
in metabolism.
Yuka Tabe
(Department of Applied Physics,
Waseda University, Tokyo, Japan)
Dissipative structures in molecular thin films
[Abstract]
Carsten Beta
(Department of Fluid Dynamics, Pattern Formation
and Nanobiocomplexity, MPI for Dynamics and Self-Organization, Göttingen)
Directional sensing - an experimental approach based on microfluidics
[Abstract]
James Sneyd
(Dept. of Mathematics, University of Auckland, New Zealand)
Calcium oscillations: Using mathematics to do physiology
[Abstract]
Vadim N. Biktashev
(Dept. of Mathematical Sciences, University of Liverpool, UK)
Asymptotic approaches to cardiac excitation models
[Abstract]
Chaiya Luengviriya
(Institut für Experimentelle Physik, Universität
Magdeburg)
Scroll wave instabilities in a chemical excitable medium
[Abstract]
Download the seminar program as PDF (ca. 51 kB)
last modified: December 19, 2006 / Oliver Rudzick