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Related Concept Videos

Olfaction01:25

Olfaction

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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.
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Physiology of Smell and Olfactory Pathway01:20

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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.
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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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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Motor and Sensory Areas of the Cortex01:14

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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Vision01:24

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Mar 27, 2026

Quadruple Immunostaining of the Olfactory Bulb for Visualization of Olfactory Sensory Axon Molecular Identity Codes
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Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding.

Juan Carlos Fernández Del Castillo1,2, Farhad Pashakhanloo1, Venkatesh N Murthy1,3,4

  • 1Center for Brain Science, Harvard University, Cambridge, MA 02138.

Proceedings of the National Academy of Sciences of the United States of America
|March 24, 2026
PubMed
Summary

Efficient coding principles explain the "canonical olfaction" architecture found in mice and flies. This study shows how maximizing information processing recovers key features of olfactory circuits.

Keywords:
convergent evolutionefficient codingolfaction

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Evolutionary Biology

Background:

  • Olfactory processing exhibits a conserved architecture across species, termed "canonical olfaction."
  • This architecture involves broadly tuned receptors, selective expression in sensory neurons, and glomerular convergence.
  • The prevalence of this structure suggests it may be optimized for efficient information processing.

Purpose of the Study:

  • To investigate whether the principle of efficient coding can explain the emergence of canonical olfactory processing.
  • To explore conditions under which noncanonical olfactory architectures might be advantageous.
  • To derive predictions linking olfactory circuit features to receptor families and environmental factors.

Main Methods:

  • Applied efficient coding principles by maximizing mutual information layer by layer.
  • Utilized realistic biophysical assumptions to model olfactory processing.
  • Analyzed the relationship between olfactory circuit architecture, receptor families, and the olfactory environment.

Main Results:

  • Efficient coding successfully recovered several key features of canonical olfaction under realistic biophysical constraints.
  • Identified specific conditions where noncanonical olfactory processing may offer advantages.
  • Generated testable predictions regarding olfactory circuits and their relationship to receptor diversity and environmental stimuli.

Conclusions:

  • The efficient coding hypothesis provides a strong framework for understanding the evolution of canonical olfactory architecture.
  • The study highlights the adaptive significance of olfactory processing strategies in different ecological contexts.
  • Findings offer insights into the interplay between neural architecture, sensory receptor evolution, and environmental demands.