
pmid: 21230325
handle: 11386/4739765 , 1721.1/60975
In many natural synchronization phenomena, communication between individual elements occurs not directly, but rather through the environment. One of these instances is bacterial quorum sensing, where bacteria release signaling molecules in the environment which in turn are sensed and used for population coordination. Extending this motivation to a general non- linear dynamical system context, this paper analyzes synchronization phenomena in networks where communication and coupling between nodes are mediated by shared dynamical quan- tities, typically provided by the nodes' environment. Our model includes the case when the dynamics of the shared variables themselves cannot be neglected or indeed play a central part. Applications to examples from systems biology illustrate the approach.
Version 2: minor editions, added section on noise. Number of pages: 36.
Bacteria, Quorum Sensing, FOS: Physical sciences, Dynamical Systems (math.DS), Models, Biological, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Nonlinear Dynamics, Biological Physics (physics.bio-ph), FOS: Biological sciences, Cell Behavior (q-bio.CB), FOS: Mathematics, Quantitative Biology - Cell Behavior, Gene Regulatory Networks, Physics - Biological Physics, Mathematics - Dynamical Systems, Adaptation and Self-Organizing Systems (nlin.AO)
Bacteria, Quorum Sensing, FOS: Physical sciences, Dynamical Systems (math.DS), Models, Biological, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Nonlinear Dynamics, Biological Physics (physics.bio-ph), FOS: Biological sciences, Cell Behavior (q-bio.CB), FOS: Mathematics, Quantitative Biology - Cell Behavior, Gene Regulatory Networks, Physics - Biological Physics, Mathematics - Dynamical Systems, Adaptation and Self-Organizing Systems (nlin.AO)
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 56 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
