Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Rohlf, Thimo"'
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 subset of the learning examples is provided for learning. Here, we exte
Externí odkaz:
http://arxiv.org/abs/1306.6041
Publikováno v:
Physical Review Letters, 108(12):128702 (2012)
We study information processing in populations of Boolean networks with evolving connectivity and systematically explore the interplay between the learning capability, robustness, the network topology, and the task complexity. We solve a long-standin
Externí odkaz:
http://arxiv.org/abs/1104.4141
Autor:
Rohlf, Thimo, Winkler, Christopher R.
Publikováno v:
Advances in Complex Systems, Vol. 12, pp. 293 - 310 (2009)
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 these properties within an artificial genome model originally introduce
Externí odkaz:
http://arxiv.org/abs/0908.3610
Autor:
Rohlf, Thimo, Bornholdt, Stefan
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 gene regulation networks of cells in a developing multicellular organism
Externí odkaz:
http://arxiv.org/abs/0908.3600
Autor:
Rohlf, Thimo, Bornholdt, Stefan
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 dynamical networks that lead to self-organization of network topology b
Externí odkaz:
http://arxiv.org/abs/0811.0980
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. Other than that, there is little consensus on what type of technology a
Externí odkaz:
http://arxiv.org/abs/0805.2684
Autor:
Rohlf, Thimo, Winkler, Chris
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 work we investigate these properties within an artificial genome model originally introduced
Externí odkaz:
http://arxiv.org/abs/0804.4714
We systematically study and compare damage spreading for random Boolean and threshold networks under small external perturbations (damage), a problem which is relevant to many biological networks. We identify a new characteristic connectivity $K_s$,
Externí odkaz:
http://arxiv.org/abs/0804.4498
Cancer invasion and metastasis depend on angiogenesis. The cellular processes (growth, migration, and apoptosis) that occur during angiogenesis are tightly regulated by signaling molecules. Thus, understanding how cells synthesize multiple biochemica
Externí odkaz:
http://arxiv.org/abs/0802.3926
Autor:
Rohlf, Thimo
We study an evolutionary algorithm that locally adapts thresholds and wiring in Random Threshold Networks, based on measurements of a dynamical order parameter. A control parameter $p$ determines the probability of threshold adaptations vs. link rewi
Externí odkaz:
http://arxiv.org/abs/0708.1637