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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Synapse
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
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Synapse
Article . 2006
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Gompertz kinetics model of fast chemical neurotransmission currents

Authors: Dexter M, Easton;

Gompertz kinetics model of fast chemical neurotransmission currents

Abstract

AbstractAt a chemical synapse, transmitter molecules ejected from presynaptic terminal(s) bind reversibly with postsynaptic receptors and trigger an increase in channel conductance to specific ions. This paper describes a simple but accurate predictive model for the time course of the synaptic conductance transient, based on Gompertz kinetics. In the model, two simple exponential decay terms set the rates of development and decline of transmitter action. The first, r, triggering conductance activation, is surrogate for the decelerated rate of growth of conductance, G. The second, r′, responsible for Y, deactivation of the conductance, is surrogate for the decelerated rate of decline of transmitter action. Therefore, the differential equation for the net conductance change, g, triggered by the transmitter is dg/dt = g(r−r′). The solution of that equation yields the product of G(t), representing activation, and Y(t), which defines the proportional decline (deactivation) of the current. The model fits, over their full‐time course, published records of macroscopic ionic current associated with fast chemical transmission. The Gompertz model is a convenient and accurate method for routine analysis and comparison of records of synaptic current and putative transmitter time course. A Gompertz fit requiring only three independent rate constants plus initial current appears indistinguishable from a Markov fit using seven rate constants. Synapse 58:53–61, 2005. © 2005 Wiley‐Liss, Inc.

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Keywords

Patch-Clamp Techniques, Time Factors, Models, Neurological, Glycine, Neural Conduction, Convulsants, Dose-Response Relationship, Radiation, Strychnine, Synaptic Transmission, Membrane Potentials, Receptors, GABA-B, Synapses, Excitatory Amino Acid Agonists, Animals, Computer Simulation, Drug Interactions, alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid, Algorithms, gamma-Aminobutyric Acid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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