Adaptive targeting of chaotic response in periodically stimulated neural systems

Kopal Gupta; Harinder P Singh; B Biswal; R Ramaswamy

doi:10.1063/1.2204749

Adaptive targeting of chaotic response in periodically stimulated neural systems

Chaos. 2006 Jun;16(2):023116. doi: 10.1063/1.2204749.

Authors

Kopal Gupta¹, Harinder P Singh, B Biswal, R Ramaswamy

Affiliation

¹ Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India.

PMID: 16822019
DOI: 10.1063/1.2204749

Abstract

We demonstrate a technique for the enhancement of chaos in a computational model of a periodically stimulated excitable neuron. "Anticontrol" of chaos is achieved through intermittent adaptive intervention, which is based on finite-time Lyapunov exponents measured from the time series. Our results suggest that an adaptive strategy for chaos anticontrol is viable for increasing the complexity in physiological systems that are typically both noisy and nonstationary.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Action Potentials / physiology*
Adaptation, Physiological / physiology
Animals
Biological Clocks / physiology*
Computer Simulation
Electric Stimulation / methods
Humans
Models, Neurological*
Models, Statistical
Nerve Net / physiology*
Neuronal Plasticity / physiology*
Neurons / physiology*
Nonlinear Dynamics
Periodicity*