Abstract

Nonlinear ensemble state estimation offers a paradigm-shifting improvement in our ability to observe, predict, and control the state of spiking neuronal systems. We use an ensemble Kalman filter to predict hidden states and future trajectories in the Hodgkin-Huxley equations, reconstruct ion dynamics, control neuronal activity including a strategy for dynamic conductance clamping, and show the feasibility of controlling pathological cellular activity such as seizures.

Original languageEnglish (US)
Article number040901
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume79
Issue number4
DOIs
StatePublished - Apr 1 2009

Fingerprint

Ensemble Kalman Filter
seizures
state estimation
Predict
dynamic control
spiking
Dynamic Control
Kalman filters
State Estimation
Conductance
Ensemble
Paradigm
trajectories
Trajectory
ions
Strategy

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Cite this

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title = "Tracking and control of neuronal Hodgkin-Huxley dynamics",
abstract = "Nonlinear ensemble state estimation offers a paradigm-shifting improvement in our ability to observe, predict, and control the state of spiking neuronal systems. We use an ensemble Kalman filter to predict hidden states and future trajectories in the Hodgkin-Huxley equations, reconstruct ion dynamics, control neuronal activity including a strategy for dynamic conductance clamping, and show the feasibility of controlling pathological cellular activity such as seizures.",
author = "Ghanim Ullah and Steven Schiff",
year = "2009",
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doi = "10.1103/PhysRevE.79.040901",
language = "English (US)",
volume = "79",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",
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}

Tracking and control of neuronal Hodgkin-Huxley dynamics. / Ullah, Ghanim; Schiff, Steven.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 79, No. 4, 040901, 01.04.2009.

Research output: Contribution to journalArticle

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