Literature DB >> 6119

Resting and stimulated values of model parameters governing transmitter release at a synapse in Aplysia californica.

P B Woodson, W T Schlapfer, J P Tremblay, S H Barondes.   

Abstract

Transmitter release (R) at a synpase in Aplysia californica can be analyzed in terms of a model with the following parameters: A, the available pool of transmitter; F, the fraction of available pool released by a presynaptic action potential; M, the rate of transmitter mobilization into the available pool; D, the rate constant of demobilization of transmitter from the available pool. In the present paper we show that: (1) beginning with an analysis of the recovery from depression of the second of a pair of disolated EPSPs separated by a series of intervals of about 10-60 sec, and assuming that the recovery is due to refilling of a depleted A, it is possible to estimate resting equilibrium values of these parameters; (2) changes in these parameters when a new equilbrium state is reached after prolonged stimulation (e.g., 300 stimuli at 1/sec) can then be quantitatively determined; (3) the increased rate of transmitter release observed during and after repetitive stimulation is the consequence of increases in F and M with changes in A passively following; and (4) there are significant correlations among certain resting parameters and between the values of certain resting parameters and these parameters upon stimulation. Preparations with a large resting F tend to have a relatively small resting A. Preparations with a large resting F or M tend to increase these less with stimulation than preparations with smaller resting values of these parameters. Preparations with large stimulus-dependent increases in F tend to have large stimulus-dependent increases in M.

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Year:  1976        PMID: 6119     DOI: 10.1016/0006-8993(76)90378-4

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  2 in total

1.  Presynaptic inhibition: the mechanism of protection from habituation of the crayfish lateral giant fibre escape response.

Authors:  J S Bryan; F B Krasne
Journal:  J Physiol       Date:  1977-10       Impact factor: 5.182

2.  Simulation of learning processes in neuronal networks of the cerebellum.

Authors:  D S Melkonian; H H Mkrtchian; V V Fanardjian
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

  2 in total

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