Artículo de revista
Knowledge-based expert control of thalamic neuron firing mode
Fecha
2014Registro en:
Asian Journal of Control, Vol. 16, No. 1, pp. 117–125, January 2014
DOI: 10.1002/asjc.599
Autor
Devia, Christ
Duarte Mermoud, Manuel
Aylwin Ostale, María de la Luz
Institución
Resumen
This work sheds light on the possibility of using control strategies to set the parameters of electric stimulation, a commonly
used technique in severe human central nervous system diseases. Currently, parameters of electric stimulation are set through a
trial and error process, with a lot of undesirable side effects. Accordingly, and based on the problem of having a population of sick
neurons embedded in a population of normal neurons, this work explores the possibility of using a control system based on the
behavior of healthy neurons to set current parameters able to modify the electric behavior of sick neurons. Specifically, we posit
a knowledge-based expert control system that modifies the firing mode of a thalamic neuron by applying a control stimulation
current, with the aim of making it fire in the same mode as a reference thalamic neuron. The controller parameters are tuned based
on some characteristics of neurons that have to be determined through experiments before their application, but this controller
does not require a detailed mathematical model of each neuron. Simulation results indicate that the proposed system satisfies the
control objectives.