Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:C1L-F
Session:
Number:C1L-F-6
A Hardware-Efficient Gene Network Model Based on Asynchronous Bifurcation Processor
Takuya Yoshimoto, Hiroyuki Torikai,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Gene networks affect a wide variety of behaviors of animals such as circadian rhythm, courtship behavior, vision, and memory. Among them, the circadian rhythm is one of the most well-studied gene network phenomena. On the other hand our group has been developing so-called asynchronous bifurcation processor (ABP), which can be used as a platform for low-hardware-cost neuromorphic hardware. In this paper, we propose a novel gene network model based on the ABP. It is show that the proposed model can reproduce various characteristics of circadian rhythms. Furthermore, it is show that the proposed model can be implemented with less FPGA hardware resources than an ODE gene network model.