Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:A4L-D
Session:
Number:A4L-D-01
Pattern Recognition Using FRET Networks: A Preliminary Study
Masaki Nakagawa,
pp.131-131
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
F?rster resonance energy transfer (FRET) network is a promising physical phenomenon for realizing high-speed, high-efficient, and compact information-processing devices. Previous experimental studies revealed that FRET networks generate rich spatiotemporal signals, which are helpful for information processing. Furthermore, our previous numerical study using a mathematical model showed that FRET networks have the capability for time-series prediction, thanks to their nonlinearity and some memory. This study proposes pattern recognition using FRET networks based on their nonlinearity. Numerical simulations using the mathematical model show that FRET networks are capable of pattern recognition, such as MNIST hand-written digit recognition tasks.