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Relating information capacity to a biophysical model for blowfly photoreceptors
Photoreceptors measure and communicate information about visual stimuli to other neurons. In this process, the visual signal is converted between many different physical states. We present a communication channel model that describes transmission and degradation of the visual signal in the blowfly p...
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Published in: | Neurocomputing (Amsterdam) 2000-06, Vol.32 (1-4), p.9-16 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Photoreceptors measure and communicate information about visual stimuli to other neurons. In this process, the visual signal is converted between many different physical states. We present a communication channel model that describes transmission and degradation of the visual signal in the blowfly photoreceptor cell. The model is a cascade of linear systems and noise sources; these elements are derived from fundamental principles when possible, and parameters of the model are estimated from physiological data. We compute capacity and bit-energy using the model. Our results indicate that photon shot noise and channel noise are the dominant noise sources in blowfly phototransduction. |
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ISSN: | 0925-2312 1872-8286 |
DOI: | 10.1016/S0925-2312(00)00138-7 |