Title :
UKF-based adaptive electric fields control of desynchronization for the PR model under the ephaptic transmission
Author :
Xile Wei ; Jian Cheng ; Jiang Wang ; Bin Deng ; Meili Lu ; Yanqiu Che
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
The applied electric field (EF) has shown to have great influence on epileptiform firing. Epilepsy is a dynamical disease charactered by hypersynchronous firing. Taking the electrical characteristic of extracellular medium i.e. ephaptic transmission into consideration, we build a PR model in the presence of the applied electric field. V̅DSout is the DC part of the voltage between soma and dendrite that electric field takes effect on PR neuron. In this paper we find V̅DSout is the key parameter that affects the neuronal synchronization and use Unscented Kalman Filter (UKF) to estimate it, then based on key parameter we design a closed-loop control to desynchronize neuronal firing. It is found that the control can not only desynchronize neuronal network, but also can adjust the strength of applied electric field according to the degree of synchronization.
Keywords :
Kalman filters; bioelectric potentials; closed loop systems; diseases; electric field effects; neurophysiology; nonlinear filters; synchronisation; Pinsky-Rinzel model; Pinsky-Rinzel neuron; applied electric field; closed-loop control; dendrite; dynamical disease; electrical characteristic; ephaptic transmission; epilepsy; epileptiform firing; extracellular medium; hypersynchronous firing; neuronal firing desynchronization; neuronal network desynchronization; soma; unscented Kalman filter-based Adaptive Electric Fields Control; voltage; Arrays; Electric fields; Epilepsy; Extracellular; Neurons; Resistance; Synchronization; Control; Ephaptic transmission; Epilepsy; PR model; Synchronize; UKF;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244389