Receptor arrays optimized for natural odor statistics

@article{Zwicker2016ReceptorAO,
  title={Receptor arrays optimized for natural odor statistics},
  author={David Zwicker and A. Murugan and M. Brenner},
  journal={Proceedings of the National Academy of Sciences},
  year={2016},
  volume={113},
  pages={5570 - 5575}
}
Significance Natural odors typically consist of many molecules at different concentrations, which together determine the odor identity. This information is collectively encoded by olfactory receptors and then forwarded to the brain. However, it is unclear how the receptor activity can encode both the composition of the odor and the concentrations of its constituents. We study a simple model of the olfactory receptors from which we derive design principles for optimally communicating odor… Expand

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  • David Zwicker
  • Computer Science, Medicine
  • PLoS computational biology
  • 2019
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