High Fidelity Modeling of Pulse Dynamics Using Logic Networks

Authors

Cole A. Lyman, Rochester Regional HealthFollow
Matthew M. Morris, Rochester Regional HealthFollow
Spencer Richman, Rochester Regional HealthFollow
Gordon Broderick, Rochester Regional HealthFollow

Department

Research

Document Type

Conference Proceeding

Publication Title

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Conference Name

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Conference Date

2021-12-09

Abstract

Pulsatile dynamics are a key regulatory behavior in many biological systems, but perform poorly using conventional logic network methods. This work addresses the relatively poor performance of logic network models when applied to pulse dynamic scenarios by implementing a novel update scheme. Models from this novel update scheme and a traditional update scheme are compared using canonical examples, i.e. the van der Pol oscillator and the Hypothalamic-Pituitary-Gonadal (HPG) axis. By incorporating this new update scheme, the authors show a 35% (11%) reduction of global minimum error in the van der Pol model (HPG axis) when compared with traditional methods.

First Page

197

Last Page

204

DOI

10.1109/BIBM52615.2021.9669437

Publication Date

1-14-2022

Publisher

IEEE

Comments

See full list of authors at journal website.

Recommended Citation

Lyman, C. A., Morris, M. M., Richman, S., & Broderick, G. (2022). High Fidelity Modeling of Pulse Dynamics Using Logic Networks. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 197-204. https://doi.org/10.1109/BIBM52615.2021.9669437