Stochastic transition and stochastic resonance as an enhancement technique for biomedicine: Using noise to defeat noise
National Brain Research Centre
(February 5, 2003 2:30 PM - 3:30 AM)
Noise or fluctuations has traditionally been regarded as a nuisance, interfering with the signal or information processing, and so efforts have been made to minimize the noise. The recent discovery of the noise-induced activation or ordering shows that under certain circumstances, noise can in fact dramatically help the performance or processing in systems.. Two of the common types of noise-activated processes are delineated, namely stochastic resonance and stochastic transition (noise-induced transition). Research on this paradoxical phenomenon and its applications has become virtually an paradigm-setter in the mathematics, physics and neuroscience.
We develop an algorithm for analysing perturbation-induced stability-instability properties of systems and such a technique may be used to actuate a noise-induced activation in various biological/clinical systems. Stochastic enhancement in neural, immunological, chemical and radiological processes is shown. We describe the mathematical analysis and experimental findings of such activation in biological/neural processes and elucidate applications towards diagnosis and therapy, in neurology, radiology and oncology, with special applications for management to brain lesions. The associated phenomenon of non-equilibrial de-stabilization of a pathological system under artificially engineered perturbation, is analysed in terms of Prigogine-Glansdorff Stability Theorem and we explore a computational model of fluctuational transitions in complex systems in general.
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