Literature DB >> 8097407

Transient analysis of a chemical synaptic transmission.

D S Melkonian1.   

Abstract

The statistical dynamics of an impulse induced quanta turnover is studied by means of a nonstationary stochastic model--double barrier synapse--resulting from a previously developed mathematical theory of chemical synaptic transmission. An essential aspect of nonstationarities of the model is that the interpool quanta transfers follow binomial distribution at impulse arrival time, while in the absence of stimulation they obey Yule-Furry statistics. Under a variety of conditions, corresponding to those in actual experiments, the transient behaviour of the model is simulated and analysed in detail. As a result, the quantitative description of immediate and delayed components of synaptic action is introduced. If simulations of quantal fluctuations are performed numerically, then for the treatment of dynamic regularities, besides numerical procedures, an analytical method of envelopes is developed. It is supported by the theorems which reduce behaviour of the double-barrier synapse to the super-position of simpler solutions for single-barrier systems. With short-term facilitation quantitative analysis and simulations, the synaptic resonance phenomenon is theoretically predicted: different resonant frequencies are found at different levels of facilitation. The importance of this phenomenon treated as a clue to the information processing capabilities of a chemical synapse is discussed.

Mesh:

Substances:

Year:  1993        PMID: 8097407     DOI: 10.1007/bf00201859

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  11 in total

1.  Local activity at a depolarized nerve-muscle junction.

Authors:  J DEL CASTILLO; B KATZ
Journal:  J Physiol       Date:  1955-05-27       Impact factor: 5.182

2.  Statistical factors involved in neuromuscular facilitation and depression.

Authors:  J DEL CASTILLO; B KATZ
Journal:  J Physiol       Date:  1954-06-28       Impact factor: 5.182

3.  Double barrier quantal model of neurotransmitter release.

Authors:  D S Melkonian
Journal:  Neuroreport       Date:  1991-11       Impact factor: 1.837

Review 4.  Quantal analysis of synaptic potentials in neurons of the central nervous system.

Authors:  S Redman
Journal:  Physiol Rev       Date:  1990-01       Impact factor: 37.312

Review 5.  Transmitter release: prepackaging and random mechanism or dynamic and deterministic process.

Authors:  M E Kriebel; J Vautrin; J Holsapple
Journal:  Brain Res Brain Res Rev       Date:  1990 May-Aug

Review 6.  Different kinds of acetylcholine release from the motor nerve.

Authors:  S Thesleff
Journal:  Int Rev Neurobiol       Date:  1986       Impact factor: 3.230

7.  Changes in the statistics of transmitter release during facilitation.

Authors:  R S Zucker
Journal:  J Physiol       Date:  1973-03       Impact factor: 5.182

Review 8.  Non vesicular release of neurotransmitter.

Authors:  L Tauc
Journal:  Physiol Rev       Date:  1982-07       Impact factor: 37.312

9.  Probability of quantal transmitter release from nerve terminals: theoretical considerations in the determination of spatial variation.

Authors:  M D Miyamoto
Journal:  J Theor Biol       Date:  1986-12-07       Impact factor: 2.691

10.  Homosynaptic depression and transmitter turnover in spinal monosynaptic pathway.

Authors:  R Capek; B Esplin
Journal:  J Neurophysiol       Date:  1977-01       Impact factor: 2.714

View more
  3 in total

1.  Persistent, exocytosis-independent silencing of release sites underlies homosynaptic depression at sensory synapses in Aplysia.

Authors:  Tony D Gover; Xue-Ying Jiang; Thomas W Abrams
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

2.  The binomial model in fluctuation analysis of quantal neurotransmitter release.

Authors:  D M Quastel
Journal:  Biophys J       Date:  1997-02       Impact factor: 4.033

3.  Quantum theory of mass potentials.

Authors:  Dmitriy Melkonian; Terry Blumenthal; Edward Barin
Journal:  PLoS One       Date:  2018-07-05       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.