Deterministic chaos in atmospheric flows as a model for self-organised neural networks

摘要

A cell dynamical system model incorporating the physics of deterministic chaos in digital computer realizations of nonlinear mathematical models of dynamical systems is presented. The model shows that persistent microscopic domain perturbations generate, spontaneously, a continuum of logarithmic spiral circulations with the quasiperiodic Penrose tiling pattern for the internal small-scale circulation pattern with ordered energy flow between the scales. The neural network of the human brain is shown by the analogy to closely resemble the self-organized adaptive network of atmospheric flows comprising fluctuations ranging in size from millimeters to thousands of kilometers.