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 :
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