An implementation of 2D locally coupled relaxation oscillators on an FPGA for real-time autowave generation

Ramazan Yeniçeri*, Müştak E. Yalçin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

This paper introduces a digital implementation of a new simple programmable autowave generator network on a Field Programmable Gate Array (FPGA). The network is a two dimensional reaction-diffusion Cellular Neural Network which consists of relaxation oscillators. The introduced implementation successfully simulates 25,600 neurons in real-time with novel Cellular Neural Processing Network architecture which uses floating-point number format. The implementation allows simulating the network with high numeric resolution and real-time monitoring of the evolution of autowaves. This FPGA implementation of the network provides a suitable platform to explore spatiotemporal behavior and to implement wave computing algorithms.

Original languageEnglish
Title of host publication2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures
Pages29-33
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures - Santiago de Compostela, Spain
Duration: 14 Jul 200816 Jul 2008

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Conference

Conference2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures
Country/TerritorySpain
CitySantiago de Compostela
Period14/07/0816/07/08

Keywords

  • Autowaves
  • Cellular wave computing
  • CNNs
  • Field programmable gate array
  • Relaxation oscillators

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