Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/28430
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Type: Conference paper
Title: Open questions for suprathreshold stochastic resonance in sensory neural models for motion detection using artificial insect vision
Author: McDonnell, M.
Abbott, D.
Citation: Proceedings of UPon 2003: Third International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology, Washington, DC, USA 2003 51-58.
Publisher: American Institute of Physics
Publisher Place: Melville, New York, USA
Issue Date: 2003
Series/Report no.: AIP CONFERENCE PROCEEDINGS
ISBN: 0735401276
ISSN: 0094-243X
1551-7616
Conference Name: UPoN'2003 (3rd : 2003 : Washington, DC, USA)
Editor: Bezrukov, S.M.
Statement of
Responsibility: 
Mark D. McDonnell and Derek Abbott
Abstract: Stochastic Resonance (SR) occurs when the presence of noise in a nonlinear system can induce an optimal output from that system, and has been observed in a diverse range of physical and biological systems, including neurons. Despite this widespread observation of SR, to date very few engineering applications inspired by SR have been proposed, and one of the goals of our research is to explore possible new practical applications designed to replicate the benefits of SR. In particular, since about 1991, our group has designed and implemented a number of motion detection VLSI chips based on insect vision. We are currently investigating the possibility of replicating the benefits of SR in artificial insect-vision based motion detection systems, in particular a newly described form of SR called Suprathreshold Stochastic Resonance (SSR). The current paper is intended to review and identify the key open questions and avenues for future research relating to SR and SSR in such systems.
Rights: ©2003 American Institute of Physics
DOI: 10.1063/1.1584874
Published version: http://link.aip.org/link/?APCPCS/665/51/1
Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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