Dresden 2026 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 14: Poster Session II
BP 14.52: Poster
Dienstag, 10. März 2026, 18:00–21:00, P2
Information Processing and Scaling of Spatially Coupled Complex Networks — •Ambar Neel1,2,3 and Carl Modes1,2,3 — 1Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG), Dresden 01307, Germany — 2Center for Systems Biology Dresden (CSBD), Dresden 01307, Germany — 3Cluster of Excellence, Physics of Life, TU Dresden, Dresden 01307, Germany
Biological adaptive spatial networks are constantly grappling with increasing the efficiency of the network while minimising the metabolic costs. Simulations demonstrate that incorporating fluctuations in a system's sinks/sources leads to the onset of topological complexity in the network. Additionally, it has recently been shown that coupling two spatial networks also results in topological complexity categorised by the existence of loops. This framework is very well suited to investigating information processing in such spatially coupled networks and is thus the focus of this presentation. Along with organ systems such as the pancreas, kidney and bone marrow, the liver is a prime candidate for this analysis as it consists of bile and blood capillary systems that are interwoven. Another challenge is to understand the packing limit of these complex spatial networks by scaling them until a critical point is reached. This provides a meaningful length-scale for the system, allowing for further investigation into fundamental questions regarding geometrical aspects of these spatially embedded complex networks as well as setting up the template to compare these results to experimentally acquired datasets of sinusoids in the liver lobules of mice.
Keywords: Networks; Flows; Dynamics; Topology; Transportation