• 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