title: Modeling hippocampal nonlinear dynamic transformations with principal dynamic modes.
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.
authors.affiliation: Biomedical Engineering Department, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. shc@usc.edu
authors.forename: Spiros H
authors.initials: SH
authors.lastname: Courellis
authors.forename: Theodoros P
authors.initials: TP
authors.lastname: Zanos
authors.forename: Min Chi
authors.initials: MC
authors.lastname: Hsiao
authors.forename: Robert E
authors.initials: RE
authors.lastname: Hampson
authors.forename: Sam A
authors.initials: SA
authors.lastname: Deadwyler
authors.forename: Vasilis Z
authors.initials: VZ
authors.lastname: Marmarelis
authors.forename: Theodore W
authors.initials: TW
authors.lastname: Berger
mesh_terms: 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