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Proceedings Paper

A biologically inspired model for signal compression
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Paper 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.

Paper Details

Date Published: 14 December 2006
PDF: 12 pages
Proc. SPIE 6416, Biomedical Applications of Micro- and Nanoengineering III, 64160Q (14 December 2006); doi: 10.1117/12.695646
Show Author Affiliations
Mark D. McDonnell, Ctr. for Biomedical Engineering, The University of Adelaide (Australia)
Derek Abbott, Ctr. for Biomedical Engineering, The University of Adelaide (Australia)


Published in SPIE Proceedings Vol. 6416:
Biomedical Applications of Micro- and Nanoengineering III
Dan V. Nicolau, Editor(s)

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