A simple programmable autowave generator network for wave computing applications

Müştak E. Yalçin

doi:10.1109/TCSII.2008.2002569

A simple programmable autowave generator network for wave computing applications

Müştak E. Yalçin^*

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

Spatiotemporal-wave-based computing on an active medium, which is known as wave computing paradigm, mimics the way biological systems process information. Recent anatomic and physiological studies and technological developments in very large-scale integration technology have encouraged the engineers to brace up with this new paradigm. In this paper, a simple network model that is essential in order to explore spatiotemporal behavior and to develop new algorithms based on wave computing technique has been presented. The presented network is a 2-D reaction-diffusion cellular neural network consisting of relaxation oscillators. The network can be programmed as an autowave generator and sources of the wave can be placed at any place on the network. The network has the simplest model that exhibits autowaves. Furthermore, the model is suitable for the implementation of a larger network. The propagation of autowaves between the cells whose dynamics is fixed shows that the network can be adapted to already developed wave computing algorithms in literature.

Original language	English
Pages (from-to)	1173-1177
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	55
Issue number	11
DOIs	https://doi.org/10.1109/TCSII.2008.2002569
Publication status	Published - 2008

Funding

Manuscript received January 06, 2008; revised April 14, 2008. Current version published December 10, 2008. This work was supported by the Scientific and Technical Research Council of Turkey under Project 105E103. The author is with the Department of Electronics and Communication Engineering, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Istanbul TR-34469, Turkey (e-mail: [email protected]). Digital Object Identifier 10.1109/TCSII.2008.2002569

Funders	Funder number
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu	105E103

Keywords

Cellular neural networks (CNNs)
Cellular wave computer
Relaxation oscillators
Spatiotemporal waves
Wave computing

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10.1109/TCSII.2008.2002569

Cite this

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abstract = "Spatiotemporal-wave-based computing on an active medium, which is known as wave computing paradigm, mimics the way biological systems process information. Recent anatomic and physiological studies and technological developments in very large-scale integration technology have encouraged the engineers to brace up with this new paradigm. In this paper, a simple network model that is essential in order to explore spatiotemporal behavior and to develop new algorithms based on wave computing technique has been presented. The presented network is a 2-D reaction-diffusion cellular neural network consisting of relaxation oscillators. The network can be programmed as an autowave generator and sources of the wave can be placed at any place on the network. The network has the simplest model that exhibits autowaves. Furthermore, the model is suitable for the implementation of a larger network. The propagation of autowaves between the cells whose dynamics is fixed shows that the network can be adapted to already developed wave computing algorithms in literature.",

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A simple programmable autowave generator network for wave computing applications

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