A modeling paradigm incorporating parametric and non-parametric methods

Author

Song, D. ; Wang, Z. ; Marmarelis, V.Z. ; Berger, T.W.

Author_Institution

Dept. of Biomedical Eng., Southern California Univ., Los Angeles, CA, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

647

Lastpage

650

Abstract

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.

Keywords

bioelectric phenomena; cellular biophysics; neurophysiology; physiological models; Schaffer collateral - CA1 pyramidal cell synapses; biological mechanisms; biological processes; electrical pulses; nonparametric modeling; parametric modeling; synaptic transmission; Biological processes; Biological system modeling; Biomedical measurements; Calcium; Data mining; Frequency; Kernel; Neurotransmitters; Parametric statistics; Pulse modulation; Non-parametric model; kernel; synapse;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403241

Filename

1403241