activity
20002013
most citedTopological Evolution of Dynamical Networks: Global Criticality from Local Dynamics

275 citations · 507 across the 17 of their papers we have counts for

collaborators

17 papers

cs.NE2013

Learning, Generalization, and Functional Entropy in Random Automata Networks

Alireza Goudarzi, Christof Teuscher, Natali Gulbahce +1

It has been shown \citep{broeck90:physicalreview,patarnello87:europhys} that feedforward Boolean networks can learn to perform specific simple tasks and generalize well if only a s…

cond-mat.dis-nn2011★ 47 cited

Emergent Criticality Through Adaptive Information Processing in Boolean Networks

Alireza Goudarzi, Christof Teuscher, Natali Gulbahce +1

We study information processing in populations of Boolean networks with evolving connectivity and systematically explore the interplay between the learning capability, robustness,…

q-bio.MN2009★ 2 cited

Emergent Network Structure, evolvable Robustness and non-linear Effects of Point Mutations in an Artificial Genome Model

Thimo Rohlf, Christopher R. Winkler

Genetic regulation is a key component in development, but a clear understanding of the structure and dynamics of genetic networks is not yet at hand. In this paper we investigate t…

q-bio.MN2009★ 11 cited

Morphogenesis by coupled regulatory networks: Reliable control of positional information and proportion regulation

Thimo Rohlf, Stefan Bornholdt

Based on a non-equilibrium mechanism for spatial pattern formation we study how position information can be controlled by locally coupled discrete dynamical networks, similar to ge…

nlin.AO2008

Self-organized criticality and adaptation in discrete dynamical networks

Thimo Rohlf, Stefan Bornholdt

It has been proposed that adaptation in complex systems is optimized at the critical boundary between ordered and disordered dynamical regimes. Here, we review models of evolving d…

cs.AR2008★ 9 cited

Assessing Random Dynamical Network Architectures for Nanoelectronics

Christof Teuscher, Natali Gulbahce, Thimo Rohlf

Independent of the technology, it is generally expected that future nanoscale devices will be built from vast numbers of densely arranged devices that exhibit high failure rates. O…