Adaptive estimation and control method for unstable periodic dynamics in spike trains. Academic Article uri icon

Overview

abstract

  • Dynamical control of excitable biological systems is often complicated by the difficult and unreliable task of precontrol identification of unstable periodic orbits (UPO's). Here we show that, for both chaotic and nonchaotic systems, UPO's can be located, and their dynamics characterized, during control. Tracking of system nonstationarities emerges naturally from this approach. Such a method is potentially valuable for the control of spike trains of excitable biological systems, for which precontrol UPO identification is often impractical, and nonstationarities (natural or stimulation induced) are common.

publication date

  • May 1, 2000

Research

keywords

  • Models, Biological

Identity

Scopus Document Identifier

  • 0034184296

Digital Object Identifier (DOI)

  • 10.1103/physreve.61.5149

PubMed ID

  • 11031560

Additional Document Info

volume

  • 61

issue

  • 5 Pt A