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Related Concept Videos

Olfaction01:25

Olfaction

49.3K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
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Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

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Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
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Olfactory Receptors: Location and Structure01:03

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The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
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Related Experiment Video

Updated: Mar 6, 2026

Imaging Odor-Evoked Activities in the Mouse Olfactory Bulb using Optical Reflectance and Autofluorescence Signals
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Imaging Odor-Evoked Activities in the Mouse Olfactory Bulb using Optical Reflectance and Autofluorescence Signals

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Computing Odor Images.

Madeleine M Rochelle1, Géraldine Julie Prévost1, Terry E Acree2

  • 1Food Science Department , Cornell University , 411 Tower Road , Ithaca , New York 14853 , United States.

Journal of Agricultural and Food Chemistry
|March 14, 2017
PubMed
Summary

The nervous system uses a few key odorants (KOs) to identify complex smells, suggesting a simple algorithm for odor perception. This computational model integrates sensory data for understanding aroma. Keywords: odor perception, computational model, key odorants.

Keywords:
Laing limitodor imageodorant mixturesolfactory whitesniff olfactometry

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Area of Science:

  • Computational neuroscience
  • Sensory perception
  • Chemosensation

Background:

  • Odor perception involves complex processing of chemical stimuli.
  • Understanding the algorithms behind odor encoding is crucial for sensory science.

Purpose of the Study:

  • To explore psychophysical methods for uncovering algorithms that encode odor images.
  • To integrate sensory measurement data into a computational model of odor perception.

Main Methods:

  • Examining psychophysical methods.
  • Integrating current sensory measurement data.
  • Developing a computational model of odor perception.

Main Results:

  • Evidence suggests the nervous system uses 3-8 odorants for odor sensation processing.
  • Approximately 250 key odorants (KOs) may define the aroma of numerous foods.
  • Detecting individual odorants in large, equally potent mixtures is extremely difficult.

Conclusions:

  • The ratio of a small number of key odorants likely creates a multitude of food odors.
  • Complex odor images may be represented by a few stimulants, indicating a simple computational process.
  • The computational process of odor perception is likely tractable.