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 CF. Characterizing activity-dependent processes with a piecewise exponential model. Biometrics. 1988 Jun;44(2):549–59.
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.
Starmer CF. Characterizing activity-dependent processes with a piecewise exponential model. Biometrics. 1988 Jun;44(2):549–559.
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