Volume 12 Supplement 1

Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access

A computational model of a strongly facilitating synapse

  • Joanna Jędrzejewska-Szmek1Email author,
  • Jarosław Żygierewicz1 and
  • Aleksander Michalski2
BMC Neuroscience201112(Suppl 1):P159

DOI: 10.1186/1471-2202-12-S1-P159

Published: 18 July 2011

We propose a new model of strongly facilitating synapse. It is described in terms of resources R which can be in two states: available and inactivated (recovery constant –t γ ). It assumes that for the release of neurotransmitter to the synaptic cleft a fraction (u) of available resources must bu used (as in [2]). This fraction is elevated by every AP (by a factor ~ u*U) and decays in between APs (facilitation constant – t f ). u related to the calcium concentration. It is further assumed that the activation of the neurotransmitter release machinery requires binding of 5 calcium ions to synaptotagmin[3], binding synaptic vesicles to the presynaptic membrane. Hence the postsynaptic current is proportional to u5*R*δ(t-tAP).

The model allows to derive analytic formulas for the measures reported in the experimental literature, e.g. EPSP integrals [1] for consecutive action potentials arriving at the synapse. Those measures were used to estimate the model parameters so that it corresponds to the synapses reported in [1]. The obtained parameter values (Table 1) are in the physiologically plausible range. The best fit curve is presented in Fig. 1. The model allows to make predictions which can be used to validate it. In our case – the stationary current (normalized to the typical synaptic current) which can be seen in Fig. 1 – information coding is possible for physiological spike frequencies.
Table 1

Results of the models fit to the experimental data

parameter

t f

U

t r

Value and 68% confidence range in

10± 2 ms

0.18 ± 0.07

130 ms

https://static-content.springer.com/image/art%3A10.1186%2F1471-2202-12-S1-P159/MediaObjects/12868_2011_Article_2177_Fig1_HTML.jpg
Figure 1

Best fit to the experimental results from [1] and stationary current predictions. Best-fit parameters can be found in Tab. 1.

Authors’ Affiliations

(1)
Biomedical Physics, Faculty of Physics, University of Warsaw
(2)
Laboratory of Neurobiology of Development and Evolution, Nencki Institute of Experimental Biology

References

  1. Thomson AM: Activity-dependent properties of synaptic transmission at two classes of connections made byrat neocortical pyramidal axons in vitro. J Physiol. 1997, 502: 131-147. 10.1111/j.1469-7793.1997.131bl.x.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Markram H, Wang Y, Tsodyks M: Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci U S A. 1998, 95 (9): 5323-532. 10.1073/pnas.95.9.5323.PubMed CentralView ArticlePubMedGoogle Scholar
  3. Fuson KL, Montes M, Robert JJ, Sutton RB: Structure of human synaptotagmin 1 C2AB in the Absence of Ca2+ reveals a novel domain association. Biochemistry. 2007, 46: 13041-13048. 10.1021/bi701651k.View ArticlePubMedGoogle Scholar

Copyright

© Jędrzejewska-Szmek et al; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement