Nonlinear Dynamical Model Based Control of in Vitro Hippocampal Output
ORIGINAL RESEARCH ARTICLE published: 20 February 2013 NEURAL CIRCUITS doi: 10.3389/fncir.2013.00020 Nonlinear dynamical model based control of in vitro hippocampal output Min-Chi Hsiao1*, Dong Song 2 and Theodore W. Berger 3 1 Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA 2 Department of Biomedical Engineering, Center for Neural Engineering, University of Southern California, Los Angeles, CA, USA 3 Department of Biomedical Engineering, Program in Neuroscience, and Center for Neural Engineering, University of Southern California, Angeles, CA,USA Edited by: This paper describes a modeling-control paradigm to control the hippocampal output Ahmed El Hady, Max Planck (CA1 response) for the development of hippocampal prostheses. In order to bypass a Institute for Dynamics and Self damaged hippocampal region (e.g., CA3), downstream hippocampal signal (e.g., CA1 Organization, Germany responses) needs to be reinstated based on the upstream hippocampal signal (e.g., Reviewed by: Karim Oweiss, Michigan State dentate gyrus responses) via appropriate stimulations to the downstream (CA1) region. University, USA In this approach, we optimize the stimulation signal to CA1 by using a predictive DG-CA1 Thierry R. Nieus, Italian Institute of nonlinear model (i.e., DG-CA1 trajectory model) and an inversion of the CA1 input–output Technology, Italy model (i.e., inverse CA1 plant model). The desired CA1 responses are first predicted by *Correspondence: the DG-CA1 trajectory model and then used to derive the optimal stimulation intensity Min-Chi Hsiao, Department of Biomedical Engineering, University through the inverse CA1 plant model. Laguerre-Volterra kernel models for random-interval, of Southern California, 3641 Watts graded-input, contemporaneous-graded-output system are formulated and applied to build Way, Los Angeles, CA 90089, USA.
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