A modeling paradigm incorporating parametric and non-parametric methods

A novel parametric/non-parametric modeling paradigm was defined and used in characterization of synaptic transmission. In this paradigm, parametric and nonparametric techniques were incorporated in a complementary manner. Non-parametric method was used to generalize experimental data and extract system input/output properties. It provided a quantitative and intuitive way to validate a parametric model with respect to general, complete input patterns. Biological processes or mechanisms missed by the conventional parametric modeling approach were revealed and subsequently included into the modified parametric model.

[1]  V. Marmarelis Identification of nonlinear biological systems using laguerre expansions of kernels , 1993, Annals of Biomedical Engineering.

[2]  Anatol C. Kreitzer,et al.  Interplay between Facilitation, Depression, and Residual Calcium at Three Presynaptic Terminals , 2000, The Journal of Neuroscience.

[3]  Theodore W. Berger,et al.  Parametric and non-parametric models of short-term plasticity , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[4]  W. Regehr,et al.  Short-term synaptic plasticity. , 2002, Annual review of physiology.

[5]  V. Z. Marmarelis,et al.  Nonparametric interpretation and validation of the parametric short-term plasticity models , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[6]  V.Z. Marmarelis,et al.  Modeling of neural systems by use of neuronal modes , 1993, IEEE Transactions on Biomedical Engineering.