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Related Experiment Video

Updated: Jan 31, 2026

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

Published on: April 23, 2019

Sniff Invariant Odor Coding.

Roman Shusterman^1,2, Yevgeniy B Sirotin³, Matthew C Smear^2,4

¹Sagol Department of Neurobiology, University of Haifa, Haifa 3498838, Israel.

|January 11, 2019

Summary

This summary is machine-generated.

Animals can perceive odor intensity despite variations in breathing patterns. Neural activity in the olfactory system adapts to respiration, enabling stable odor concentration coding. This research explores sniff-invariant olfactory perception.

Keywords:

extracellular electrophysiology olfactory bulb psychophysics

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Related Experiment Videos

Last Updated: Jan 31, 2026

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

Published on: April 23, 2019

Testing for Odor Discrimination and Habituation in Mice

Testing for Odor Discrimination and Habituation in Mice

Published on: May 5, 2015

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Area of Science:

Neuroscience
Olfactory System
Sensory Perception

Background:

Odor sampling, influenced by respiration, affects neural responses in the olfactory periphery.
Animals must achieve accurate perceptual judgments despite variations in sensory sampling behaviors.

Purpose of the Study:

To investigate neural activity features that support stable odor intensity perception.
To understand how the olfactory system codes odor concentration across varying sniff kinetics.

Main Methods:

Recorded neural responses of mitral/tufted (MT) cells in awake mice across different odors, concentrations, and sniff frequencies.
Utilized a fluid dynamics (FD) model to analyze odor concentration kinetics within the nasal cavity.

Main Results:

MT cell response amplitude and latency were found to vary with sniff duration.
The FD model explained the variability in MT cell responses related to sniff waveform.
Decoding odor concentration improved significantly when sniff waveform dependence was removed using the FD model.

Conclusions:

Neural coding of odor concentration can be invariant to sniff waveform variations.
Suggests mechanisms for sniff-invariant odor concentration coding in the olfactory system.