A biologically inspired model for signal compression

Mark D. McDonnell; Derek Abbott

doi:10.1117/12.695646

14 December 2006 A biologically inspired model for signal compression

Mark D. McDonnell, Derek Abbott

Proceedings Volume 6416, Biomedical Applications of Micro- and Nanoengineering III; 64160Q (2006) https://doi.org/10.1117/12.695646
Event: SPIE Smart Materials, Nano- and Micro-Smart Systems, 2006, Adelaide, Australia

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.

Citation Download Citation

Mark D. McDonnell and Derek Abbott "A biologically inspired model for signal compression", Proc. SPIE 6416, Biomedical Applications of Micro- and Nanoengineering III, 64160Q (14 December 2006); https://doi.org/10.1117/12.695646

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