An Implementation of 2D Locally Coupled Relaxation Oscillators on an FPGA for Real-time Autowave Generation


Yeniçeri R. , Yalçın M. E.

11th International Workshop on Cellular Neural Networks and Their Applications, Santiago de Compostela, Spain, 14 - 16 July 2008, pp.29-33 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/cnna.2008.4588645
  • City: Santiago de Compostela
  • Country: Spain
  • Page Numbers: pp.29-33

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.