Publication: A comparison of deterministic and stochastic simulations of neuronal vesicle release models
Issued Date
2010-01-01
Resource Type
ISSN
14783975
14783967
14783967
Other identifier(s)
2-s2.0-77954109049
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Mahidol University
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SCOPUS
Bibliographic Citation
Physical Biology. Vol.7, No.2 (2010)
Suggested Citation
Charin Modchang, Suhita Nadkarni, Thomas M. Bartol, Wannapong Triampo, Terrence J. Sejnowski, Herbert Levine, Wouter Jan Rappel A comparison of deterministic and stochastic simulations of neuronal vesicle release models. Physical Biology. Vol.7, No.2 (2010). doi:10.1088/1478-3975/7/2/026008 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/28828
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Title
A comparison of deterministic and stochastic simulations of neuronal vesicle release models
Abstract
We study the calcium-induced vesicle release into the synaptic cleft using a deterministic algorithm and MCell, a Monte Carlo algorithm that tracks individual molecules. We compare the average vesicle release probability obtained using both algorithms and investigate the effect of the three main sources of noise: diffusion, sensor kinetics and fluctuations from the voltage-dependent calcium channels (VDCCs). We find that the stochastic opening kinetics of the VDCCs are the main contributors to differences in the release probability. Our results show that the deterministic calculations lead to reliable results, with an error of less than 20%, when the sensor is located at least 50 nm from the VDCCs, corresponding to microdomain signaling. For smaller distances, i.e. nanodomain signaling, the error becomes larger and a stochastic algorithm is necessary. © 2010 IOP Publishing Ltd.