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Relating information capacity to a biophysical model for blowfly photoreceptors

  • Johns Hopkins University

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

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 languageEnglish
Pages (from-to)9-16
Number of pages8
JournalNeurocomputing
Volume32-33
DOIs
StatePublished - Jun 2000
EventThe 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA
Duration: Jul 18 1999Jul 22 1999

Keywords

  • Bit energy
  • Blowfly
  • Channel capacity
  • Information theory
  • Photoreceptor

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