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|Title:||A biologically inspired model for signal compression|
|Citation:||Biomedical applications of micro- and nanoengineering III : 11-13 December 2006, Adelaide, Australia / Dan V. Nicolau (ed.), pp. 1-12|
|Series/Report no.:||Proceedings of SPIE--the International Society for Optical Engineering ; 6416.|
|Conference Name:||Smart Materials, Nano- & Micro-Smart Systems (2006 : Adelaide, SA)|
|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.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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