It has been known for some time that the population densities of insect pests in nature show wide fluctuations over time, but whether these fluctuations represent chaotic dynamics or are the result of environmental noise superimposed on steady cycles remains open to question. We have carried out a t
Frustrated Chaos in Biological Networks
β Scribed by Hugues Bersini; Vera Calenbuhr
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 358 KB
- Volume
- 188
- Category
- Article
- ISSN
- 0022-5193
No coin nor oath required. For personal study only.
β¦ Synopsis
The behaviour of three biologically inspired networks is investigated: Immune Idiotypic Network (IIN), Hopfield Network (HN) and Coupled Map Lattice (CML), mainly the effect on the dynamics induced by connecting the network in a frustrated way. Frustration occurs when the global structure is such that local connectivity patterns responsible for stable behaviour are intertwined, leading to mutually competing attractors and chaotic itinerancy among brief appearance of these attractors. Frustration destabilizes the network and provokes an unpredictable "wavering" among the stable dynamic regimes which characterize the same network when it is interconnected in a non-frustrated way. As the main contribution of this paper, an immune idiotypic network in which the prevailing behaviour is oscillatory is studied in detail. It is shown how connecting an elementary three-clone network in a frustrating way transforms the oscillatory regime into a chaotic one. This chaotic regime is further analysed and several interesting aspects are discussed such as the variable homogeneity, the intrinsic chaotic itinerancy among brief oscillatory regimes and the strong unpredictability. In addition, dynamical regimes obtained by frustrating the connectivity of HN and CML are presented and the similarities as well as the differences with the IIN dynamics are emphasized. Common to all these networks is the description of the frustrated chaos as a succession of attempts to relax the network into one of the oscillatory regimes given by a weaker and non-frustrated connectivity, an impossible achievement making the dynamics rambling over brief but repelling orbits.
π SIMILAR VOLUMES
This work demonstrates the control of chaos in chaotic neural networks. Chaotic neural networks, which were proposed by Aihara and others, consist of chaotic neuron models, and are based on research on the giant axon of squids and study of the Hodgkin-Huxley equation. They show a chaotic response th
Cavalieri & KocΒΈak (1994) presented a non-spatial theoretical model of the dynamics of European corn borer (ECB) populations that included the effects of biological control agents. They showed that certain combinations of parameters could generate chaotic dynamics in the population. Recently, other
## Abstract The motion of particles and feeding currents around microβorganisms due to a flagellum are considered. The calculations are pertinent to a range of sessile organisms but we concentrate on fluid motion around __Salpingoeca Amphoridium__βa choanoflagellate; these are a class of organism i