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Related Concept Videos

Olfactory Receptors: Location and Structure01:03

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Many cellular signals are hydrophilic and therefore cannot pass through the plasma membrane. However, small or hydrophobic signaling molecules can cross the hydrophobic core of the plasma membrane and bind to internal, or intracellular, receptors that reside within the cell. Many mammalian steroid hormones use this mechanism of cell signaling, as does nitric oxide (NO) gas.
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Updated: Jan 28, 2026

High-throughput Analysis of Mammalian Olfactory Receptors: Measurement of Receptor Activation via Luciferase Activity
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Olfactory Navigation and the Receptor Nonlinearity.

Jonathan D Victor1, Sebastian D Boie2, Erin G Connor3

  • 1Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, New York 10065, jdvicto@med.cornell.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|March 9, 2019
PubMed
Summary
This summary is machine-generated.

Sensory systems optimize odor concentration encoding for navigation, not just concentration measurement. The olfactory system

Keywords:
Hill equationadaptationdynamic programmingefficient codinginformation theory

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Area of Science:

  • Neuroscience and computational biology
  • Sensory processing and information theory
  • Chemosensation and animal behavior

Background:

  • Sensory system demands vary with input statistics and task objectives.
  • Olfactory navigation requires locating odor plume sources, influencing sensory resource allocation.
  • Odor concentration encoding is critical for determining location.

Purpose of the Study:

  • To explore how task-driven demands shape odor concentration encoding strategies.
  • To determine the optimal partitioning of odor concentration ranges for information transmission about location.
  • To investigate the role of ligand binding (Hill equation) in olfactory navigation.

Main Methods:

  • Developed a dynamic programming algorithm to find optimal partitioning of odor concentration ranges.
  • Analyzed planar laser-induced fluorescence measurements of spatiotemporal odor fields.
  • Applied analysis to turbulent plumes with realistic advection speeds and environmental complexities (boundaries, obstacles).

Main Results:

  • Optimal coding allocates more resources to higher odor concentrations for navigation, unlike histogram equalization for plume reconstruction.
  • The Hill equation's nonlinearity approximates information maximization for navigation.
  • This approximation holds when the Hill dissociation constant is near the mean odor concentration.

Conclusions:

  • The biophysical nonlinearity of olfactory receptor binding (Hill nonlinearity) serves an information-processing role in navigation.
  • Optimal odor concentration encoding for navigation prioritizes location information over precise concentration measurement.
  • The olfactory system's adaptive set-point for ligand binding aligns with information maximization principles for navigation.