Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses

Dong Song; Robert E Hampson; Brian S Robinson; Ioan Opris; Vasilis Z Marmarelis; Sam A Deadwyler; Theodore W Berger

doi:10.1109/NER.2015.7146623

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Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses

Dong Song, Robert E Hampson, Brian S Robinson, Ioan Opris, Vasilis Z Marmarelis, Sam A Deadwyler and Theodore W Berger

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), Vol.2015-, pp.316-319

2015-04

DOI: https://doi.org/10.1109/NER.2015.7146623

Abstract

Computational modeling

Estimation

Neural engineering

Predictive models

MIMO

Kernel

Prosthetics

This paper reports the first nonlinear dynamical model of human hippocampus for building memory prostheses. In this study, spike trains are recorded from the hippocampal CA3 and CA1 regions in epileptic patients performing two memory-dependent behavioral tasks. Using CA3 and CA1 spike trains as inputs and outputs respectively, second-order generalized Laguerre-Volterra models are built to capture the nonlinear dynamics underlying the spike train transformations. These models can predict the CA1 spike trains based on the CA3 spike train and thus be used as the computational basis of the hippocampal memory prosthesis.

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Title: Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses
Creators: Dong Song - Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Robert E Hampson - Dept. of Physiol. & Pharmacology, Wake Forest Univ., Wake Forest, NC, USA
Brian S Robinson - Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Ioan Opris - Dept. of Physiol. & Pharmacology, Wake Forest Univ., Wake Forest, NC, USA
Vasilis Z Marmarelis - Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Sam A Deadwyler - Dept. of Physiol. & Pharmacology, Wake Forest Univ., Wake Forest, NC, USA
Theodore W Berger - Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Publication Details: 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), Vol.2015-, pp.316-319
Publisher: IEEE
Academic Unit: College of Engineering; CoE - Biomedical Engineering
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031600027602976