DocumentCode
592199
Title
Charge-balanced time-optimal control for spiking neuron oscillators
Author
Dasanayake, Isuru ; Shin Li
Author_Institution
Dept. of Electr. & Syst. Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
1651
Lastpage
1656
Abstract
In this paper, we investigate the fundamental limits on how the inter-spike time of a neuron oscillator can be perturbed by the application of an external control input (a current stimulus) with zero net electric charge accumulation. We derive the minimum and maximum inter-spike time assignment controls for phase models using the maximum principle, and fully characterize the possible range of neuronal spiking times with respect to a given bound on the control amplitude. We apply the derived optimal controls to both mathematically ideal and experimentally observed phase models of spiking neurons to demonstrate their applicability to neuroscience.
Keywords
bioelectric phenomena; brain; neural nets; neurophysiology; optimal control; oscillators; charge-balanced time-optimal control; inter-spike time assignment controls; neuronal spiking; neuroscience; optimal controls; phase models; spiking neuron oscillators; spiking neurons; zero net electric charge accumulation; Mathematical model; Neurons; Optimal control; Oscillators; Switches; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6425878
Filename
6425878
Link To Document