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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
Adaptive targeting of chaotic response in periodically stimulated neural systems
Kopal Gupta1, Harinder P Singh, B Biswal
1Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India.
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.
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