Kalman filter tracking of intracellular neuronal voltage and current

Yina Wei, Ghanim Ullah, Ruchi Parekh, Jokubas Ziburkus, Steven Schiff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The nervous system encodes and processes information with the activities of neurons. The response of a single neuron is complex and depends on the interactions between its previous state, its intrinsic properties, and the stimuli it receives. Experimentally, we utilize the patch clamp technique to monitor neural membrane voltages, but the underlying stimuli, including the external current or synaptic current from other neurons, cannot be fully observed. In this paper, we used computational models as an alternative to tackle these challenges. We employed an ensemble Kalman filter to reconstruct unobserved intracellular variables and parameters only from measured membrane potentials in a CA1 pyramidal neuron model that follows Hodgkin-Huxley dynamics. We found that the tracking of intracellular neuronal voltage and current was close to their true values whether the observations are from model generated data or real experimental data. In addition, we retrieved the experimentally inaccessible dynamics of the neuron, such as the changes of sodium and potassium gating variables, which helps to understand their roles in generating action potentials. Our study provides a powerful framework for observing dynamics underlying neural activity and seeking better real-time neuronal control.

Original languageEnglish (US)
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages5844-5849
Number of pages6
DOIs
StatePublished - Dec 1 2011
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: Dec 12 2011Dec 15 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
CountryUnited States
CityOrlando, FL
Period12/12/1112/15/11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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    Wei, Y., Ullah, G., Parekh, R., Ziburkus, J., & Schiff, S. (2011). Kalman filter tracking of intracellular neuronal voltage and current. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 (pp. 5844-5849). [6161358] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6161358