arXiv subjects

Kunihiko Kaneko

Publications and source records attributed to Kunihiko Kaneko.

184 records · Page 11Linked to original sources

arXiv1993

Relevance of Dynamic Clustering to Biological Networks

Network of nonlinear dynamical elements often show clustering of synchronization by chaotic instability. Relevance of the clustering to ecological, immune, neural, and cellular networks is discussed, with the emphasis of partially ordered states with chaotic itinerancy. First, clustering with bit structures in a hypercubic lattice is studied. Spontaneous formation and destruction of relevant bits are found, which give self-organizing, and chaotic genetic algorithms. When spontaneous changes of effective couplings are introduced, chaotic itinerancy of clusterings is widely seen through a feedback mechanism, which supports dynamic stability allowing for complexity and diversity, known as homeochaos. Second, synaptic dynamics of couplings is studied in relation with neural dynamics. The clustering structure is formed with a balance between external inputs and internal dynamics. Last, an extension allowing for the growth of the number of elements is given, in connection with cell differentiation. Effective time sharing system of resources is formed in partially ordered states.

chao-dyn↗

arXiv1993

Cell Division, Differentiation and Dynamic Clustering

A novel mechanism for cell differentiation is proposed, based on the dynamic clustering in a globally coupled chaotic system. A simple model with metabolic reaction, active transport of chemicals from media, and cell division is found to show three successive stages with the growth of the number of cells; coherent growth, dynamic clustering, and fixed cell differentiation. At the last stage, disparity in activities, germ line segregation, somatic cell differentiation, and homeochaotic stability against external perturbation are found. Our results, in consistency with the experiments of the preceding paper, imply that cell differentiation can occur without a spatial pattern. From dynamical systems viewpoint, the new concept of ``open chaos" is proposed, as a novel and general scenario for systems with growing numbers of elements, also seen in economics and sociology.A

adap-org↗

arXiv1993

Evolution to the Edge of Chaos in Imitation Game

Motivated by the evolution of complex bird songs, an abstract imitation game is proposed to study the increase of dynamical complexity: Artificial "birds" display a "song" time series to each other, and those that imitate the other's song better win the game. With the introduction of population dynamics according to the score of the game and the mutation of parameters for the song dynamics, the dynamics is found to evolve towards the borderline between chaos and a periodic window, after punctuated equilibria. The importance of edge of chaos with topological chaos for complexity is stressed.

adap-org↗

arXiv1993

Chaotic Traveling Waves in a Coupled Map Lattice

Traveling waves triggered by a phase slip in coupled map lattices are studied. A local phase slip affects globally the system, which is in strong contrast with kink propagation. Attractors with different velocities coexist, and form quantized bands determined by the number of phase slips. The mechanism and statistical and dynamical characters are studied with the use of spatial asymmetry, basin volume ratio, Lyapunov spectra, and mutual information. If the system size is not far from an integer multiple of the selected wavelength, attractors are tori, while weak chaos remains otherwise, which induces chaotic modulation of waves or a chaotic itinerancy of traveling states. In the itinerancy, the residence time distribution obeys the power law distribution, implying the existence of a long-ranged correlation. Supertransients before the formation of traveling waves are noted in the high nonlinearity regime. In the weaker nonlinearity regime corresponding to the frozen random pattern, we have found fluctuation of domain sizes and Brownian-like motion of domains. Propagation of chaotic domains by phase slips is also found. Relevance of our discoveries to Bénard convection experiments and possible applications to information processing are briefly discussed.

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