, Volume 38, Issue 5–6, pp 348–350 | Cite as

Are steady-state temporal correlations between evoked stochastic releases of synaptic vesicles as informative as suggested?

  • E. É. Saftenku


Using a stochastic model, we found that the steady-state temporal correlation between synaptic responses evoked by successive presynaptic spikes under conditions of high-frequency repetitive stimulation (50–100 sec−1) is always negative. Therefore, the sign of this correlation cannot be used as a criterion that allows one to distinguish the univesicular vs multivesicular modes of neurotransmitter release in an active zone or the univesicular releases with low vs high probabilities of vesicle release, as suggested earlier [7]. For lower stimulation frequencies (15–20 sec−1), positive correlation between release events evoked by consecutive stimuli is observed only in those cases where the number of ready-releasable vesicles and the time constant of recovery from depression are sufficiently large.


evoked synaptic responses univesicular neurotransmitter release stochastic model temporal correlations 


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  1. 1.
    R. A. Silver, “Estimation of nonuniform quantal parameters with multiple-probability fluctuation analysis: theory, application and limitations,” J. Neurosci. Method, 130, 127–141 (2003).CrossRefGoogle Scholar
  2. 2.
    A. I. Gulyas, R. Miles, A. Sik, et al., “Hippocampal pyramidal cells excite inhibitory neurons through a single release site,” Nature, 366, 683–687 (1993).PubMedCrossRefGoogle Scholar
  3. 3.
    R. A. Silver, J. Lubke, B. Sakmann, and D. Feldmeyer, “High-probability uniquantal transmission at excitatory synapses in barrel cortex,” Science, 302, 1981–1984 (2003).PubMedCrossRefGoogle Scholar
  4. 4.
    J. I. Wadiche and C. E. Jahr, “Multivesicular release at climbing fiber-Purkinje cell synapses,” Neuron, 32, 301–313 (2001).PubMedCrossRefGoogle Scholar
  5. 5.
    T. G. Oertner, B. L. Sabatini, E. A. Nimchinsky, et al., “Facilitation at single synapses probed with optical quantal analysis,” Nat. Neurosci., 5, 657–664 (2002).PubMedGoogle Scholar
  6. 6.
    J. Del Castillo and B. Katz, “Quantal components of the end-plate potential,” J. Physiol., 124, 560–573 (1954).Google Scholar
  7. 7.
    V. Matveev and X. J. Wang, “Implications of all-or-none synaptic transmission and short-term depression beyond vesicle depletion: a computational study,” J. Neurosci., 20, 1575–1588 (2000).PubMedGoogle Scholar
  8. 8.
    V. Scheuss and E. Neher, “Estimating synaptic parameters from mean, variance, and covariance in trains of synaptic responses,” Biophys. J., 81, 1970–1989 (2001).PubMedCrossRefGoogle Scholar
  9. 9.
    L. E. Dobrunz and C. F. Stevens, “Heterogeneity of release probability, facilitation, and depletion at central synapses,” Neuron, 18, 995–1008 (1997).PubMedCrossRefGoogle Scholar
  10. 10.
    H. Markram, Y. Wang, and M. Tsodyks, “Differential signaling via the same axon of neocortical pyramidal neurons,” Proc. Natl. Acad. Sci. USA, 95, 5323–5328 (1998).PubMedCrossRefGoogle Scholar
  11. 11.
    C. Saviane and R. A. Silver, “Fast vesicle reloading and a large pool sustain high bandwidth transmission at a central synapses,” Nature, 439, 983–987 (2006).PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Bogomolets Institute of PhysiologyNational Academy of Sciences of UkraineKyivUkraine

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