Modeling hippocampal nonlinear dynamic transformations with principal dynamic modes.
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.
Courellis
Spiros H
SH
Biomedical Engineering Department, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. shc@usc.edu
Zanos
Theodoros P
TP
Hsiao
Min Chi
MC
Hampson
Robert E
RE
Deadwyler
Sam A
SA
Marmarelis
Vasilis Z
VZ
Berger
Theodore W
TW
D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D006624:Hippocampus / Q000502:physiology*; D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D017711:Nonlinear Dynamics