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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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Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
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Mitochondrial protein import is powered by two distinct energy sources: ATP hydrolysis and electrochemical potential across the inner membrane. Newly synthesized precursors are bound by cytosolic chaperones of the Hsp70 family, which guide them to the import receptors on the mitochondrial surface. Utilizing the energy of ATP hydrolysis, Hsp70 chaperones transfer these precursors to the TOM receptors on the mitochondrial outer membrane.
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Top-down inputs drive neuronal network rewiring and context-enhanced sensory processing in olfaction.

Wayne Adams1, James N Graham1, Xuchen Han2

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Computational models reveal how top-down brain projections rewire in the olfactory system. This precise neural network rewiring, driven by adult neurogenesis, enhances odor discrimination and contextual processing.

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Neuroscience

Background:

  • Mammalian brain computation relies on top-down projections for precise neural targeting.
  • The mechanisms and functions of this specific connectivity remain poorly understood.
  • The olfactory system exhibits significant structural plasticity, involving granule cells and adult neurogenesis.

Purpose of the Study:

  • To computationally model the rewiring of top-down projections and the olfactory bulb network.
  • To investigate the role of adult neurogenesis in shaping cortico-bulbar connectivity.
  • To understand how learned odor information influences neural processing and behavior.

Main Methods:

  • Development of a biophysically plausible computational model.
  • Simulation of adult neurogenesis and network rewiring in the olfactory bulb.
  • Analysis of cortico-bulbar network connectivity and functional predictions.

Main Results:

  • The model predicts correlated receptive fields for sensory and cortical inputs in granule cells after learning.
  • Learned odors enable specific disynaptic inhibitory control from cortical cells to olfactory bulb principal cells.
  • Reciprocal synaptic connections are crucial for this functional circuit.

Conclusions:

  • The model successfully captures existing physiological and behavioral data.
  • It predicts context-enhanced odor discrimination in complex environments.
  • The study provides testable predictions for cortico-bulbar network function and guidance for future research.