@inproceedings{8dd678adc1d644c79c33fa1c32127132,
title = "An implementation of 2D locally coupled relaxation oscillators on an FPGA for real-time autowave generation",
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.",
keywords = "Autowaves, Cellular wave computing, CNNs, Field programmable gate array, Relaxation oscillators",
author = "Ramazan Yeni{\c c}eri and Yal{\c c}in, \{M{\"u}{\c s}tak E.\}",
year = "2008",
doi = "10.1109/CNNA.2008.4588645",
language = "English",
isbn = "9781424420902",
series = "Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications",
pages = "29--33",
booktitle = "2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures",
note = "2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures ; Conference date: 14-07-2008 Through 16-07-2008",
}