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

• Published in: 2008 11th International Workshop on Cellular Neural Networks and Their Applications pp. 29 - 33
• Main Authors: Yeniceri, R., Yalcin, M.E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2008
• Subjects: Arrays; Autowaves; Cellular Wave Computing; Clocks; CNNs; Field Programmable Gate Array; Field programmable gate arrays; Neurons; Oscillators; Random access memory; Real time systems; Relaxation oscillators
• ISBN: 142442089X; 9781424420896
• ISSN: 2165-0144
• DOI: 10.1109/CNNA.2008.4588645

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.