Modeling Hippocampal Nonlinear Dynamic Transformations with Principal Dynamic Modes

Author

Courellis, Spiros H. ; Zanos, Theodoros P. ; Hsiao, Min Chi ; Hampson, Robert E. ; Deadwyler, Sam A. ; Marmarelis, Vasilis Z. ; Berger, Theodore W.

Author_Institution

Biomed. Eng. Dept., Univ. of Southern California, Los Angeles, CA

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2300

Lastpage

2303

Abstract

A new modeling approach of hippocampal nonlinear dynamics is presented. It is based on Principal Dynamics Modes (PDMs) derived from the Volterra kernels quantifying the hippocampal transformations. The approach is illustrated using data obtained from acute hippocampal slice preparations and from behaving rats performs a memory task. The resulting PDM models are comparable in performance to the Volterra models and require significantly less representational and implementational overhead

Keywords

Volterra equations; brain models; neurophysiology; Volterra kernels; acute hippocampal slice preparation; hippocampal nonlinear dynamic model; hippocampal transformation; memory task; principal dynamic modes; Biomedical engineering; Cities and towns; Kernel; Mathematical model; Nonlinear dynamical systems; Nonlinear equations; Physiology; Rats; USA Councils; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260271

Filename

4462252