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Characterizing activity-dependent processes with a piecewise exponential model.

Publication ,  Journal Article
Starmer, CF
Published in: Biometrics
June 1988

The response of some biological processes is dependent on the frequency of stimulation. With first-order processes, the response is driven exponentially to an equilibrium determined by the value of the driving function. When the stimulus or driving function is viewed as switching between constant values the resulting response is piecewise exponential. With periodic excitation, the time course of a point fixed in time relative to the initiation time of each stimulus is shown to be exponential with a rate and steady state that are linearly dependent on the rates and equilibria associated with each component exponential. This linearity can be exploited and leads to a simple estimation procedure for the apparent state-dependent rates.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

June 1988

Volume

44

Issue

2

Start / End Page

549 / 559

Related Subject Headings

  • Statistics & Probability
  • Periodicity
  • Nervous System
  • Myocardium
  • Models, Theoretical
  • Models, Biological
  • Membrane Potentials
  • Ion Channels
  • Biometry
  • Animals
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Starmer, C. F. (1988). Characterizing activity-dependent processes with a piecewise exponential model. Biometrics, 44(2), 549–559. https://doi.org/10.2307/2531867
Starmer, C. F. “Characterizing activity-dependent processes with a piecewise exponential model.Biometrics 44, no. 2 (June 1988): 549–59. https://doi.org/10.2307/2531867.
Starmer, C. F. “Characterizing activity-dependent processes with a piecewise exponential model.Biometrics, vol. 44, no. 2, June 1988, pp. 549–59. Epmc, doi:10.2307/2531867.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

June 1988

Volume

44

Issue

2

Start / End Page

549 / 559

Related Subject Headings

  • Statistics & Probability
  • Periodicity
  • Nervous System
  • Myocardium
  • Models, Theoretical
  • Models, Biological
  • Membrane Potentials
  • Ion Channels
  • Biometry
  • Animals