DocumentCode
2250956
Title
A comparative study of information capacity for biophysical and silicon photoreceptors
Author
Abshire, Pamela ; Andrew, A.G.
Author_Institution
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Volume
5
fYear
2000
fDate
2000
Firstpage
145
Abstract
We employ communication theory to analyze information processing in a silicon photoreceptor and in a biophysical model of the blowfly photoreceptor. We take channel capacity to be a quantitative measure of performance which is independent of any particular task. The physical instantiation of any channel determines the noise, the signal constraints and the channel capacity. The channel model for each of the two systems is a cascade of linear bandlimiting sections followed by additive noise. Filters and noise are modelled from first principles when possible. Parameters for the blowfly model are determined from biophysical data available in the literature. Such a comparative study is a first step towards understanding the performance, and the tradeoffs between system performance and associated costs such as size, reliability and energy requirements for natural and engineered sensory systems
Keywords
bandlimited signals; channel capacity; information theory; photodetectors; physiological models; vision; Si photoreceptor; additive noise; biophysical model; biophysical photoreceptors; blowfly photoreceptor; channel capacity; channel model; communication theory; energy requirements; engineered sensory systems; filter modelling; information processing; linear bandlimiting section cascade; natural sensory systems; noise; noise modelling; reliability; signal constraints; Additive noise; Bioinformatics; Channel capacity; Filters; Information analysis; Information processing; Particle measurements; Photoreceptors; Silicon; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.857384
Filename
857384
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