Abstract
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. (C) 2000 Elsevier Science B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 9-16 |
| Number of pages | 8 |
| Journal | Neurocomputing |
| Volume | 32-33 |
| DOIs | |
| State | Published - Jun 2000 |
| Event | The 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA Duration: Jul 18 1999 → Jul 22 1999 |
Keywords
- Bit energy
- Blowfly
- Channel capacity
- Information theory
- Photoreceptor
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