Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35271
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Type: Conference paper
Title: A biologically inspired model for signal compression
Author: McDonnell, M.
Abbott, D.
Citation: Biomedical applications of micro- and nanoengineering III : 11-13 December 2006, Adelaide, Australia / Dan V. Nicolau (ed.), pp. 1-12
Publisher: SPIE
Publisher Place: USA
Issue Date: 2006
Series/Report no.: Proceedings of SPIE--the International Society for Optical Engineering ; 6416.
ISBN: 0819465240
9780819465245
ISSN: 0277-786X
Conference Name: Smart Materials, Nano- & Micro-Smart Systems (2006 : Adelaide, SA)
Statement of
Responsibility: 
Mark D. McDonnell and Derek Abbott
Abstract: A model of a biological sensory neuron stimulated by a noisy analog information source is considered. It is demonstrated that action-potential generation by the neuron model can be described in terms of lossy compression theory. Lossy compression is generally characterized by (i) how much distortion is introduced, on average, due to a loss of information, and (ii) the 'rate,' or the amount of compression. Conventional compression theory is used to measure the performance of the model in terms of both distortion and rate, and the tradeoff between each. The model's applicability to a number of situations relevant to biomedical engineering, including cochlear implants, and bio-sensors is discussed.
Description: © 2006 COPYRIGHT SPIE--The International Society for Optical Engineering.
RMID: 0020062987
DOI: 10.1117/12.695646
Appears in Collections:Electrical and Electronic Engineering publications

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