Biophysical Journal 71: 2404-2412 (1996)
© 1996 the Biophysical Society

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Camproux, A C Articles by Thomas, G Search for Related Content PubMed PubMed Citation Articles by Camproux, A C Articles by Thomas, G

A hidden Markov model approach to neuron firing patterns.

Départment de Biostatistique et Informatique Médicale, INSERM U 444, Paris, France.

ABSTRACT

Analysis and characterization of neuronal discharge patterns are of interest to neurophysiologists and neuropharmacologists. In this paper we present a hidden Markov model approach to modeling single neuron electrical activity. Basically the model assumes that each interspike interval corresponds to one of several possible states of the neuron. Fitting the model to experimental series of interspike intervals by maximum likelihood allows estimation of the number of possible underlying neuron states, the probability density functions of interspike intervals corresponding to each state, and the transition probabilities between states. We present an application to the analysis of recordings of a locus coeruleus neuron under three pharmacological conditions. The model distinguishes two states during halothane anesthesia and during recovery from halothane anesthesia, and four states after administration of clonidine. The transition probabilities yield additional insights into the mechanisms of neuron firing.

This article has been cited by other articles:

				J. E. Sirois, Q. Lei, E. M. Talley, C. Lynch III, and D. A. Bayliss The TASK-1 Two-Pore Domain K+ Channel Is a Molecular Substrate for Neuronal Effects of Inhalation Anesthetics J. Neurosci., September 1, 2000; 20(17): 6347 - 6354. [Abstract] [Full Text] [PDF]

				A.C. Camproux, P. Tuffery, J.P. Chevrolat, J.F. Boisvieux, and S. Hazout Hidden Markov model approach for identifying the modular framework of the protein backbone Protein Eng. Des. Sel., December 1, 1999; 12(12): 1063 - 1073. [Abstract] [Full Text] [PDF]