Odor concentration invariance by chemical ratio coding

Many animal species rely on chemical signals to extract ecologically important information from the environment. Yet in natural conditions chemical signals will frequently undergo concentration changes that produce differences in both level and pattern of activation of olfactory receptor neurons. Th...

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Main Authors: Naoshige Uchida, Zachary F Mainen
Format: Article
Language:English
Published: Frontiers Media S.A. 2008-08-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/neuro.06.003.2007/full
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author Naoshige Uchida
Zachary F Mainen
author_facet Naoshige Uchida
Zachary F Mainen
author_sort Naoshige Uchida
collection DOAJ
description Many animal species rely on chemical signals to extract ecologically important information from the environment. Yet in natural conditions chemical signals will frequently undergo concentration changes that produce differences in both level and pattern of activation of olfactory receptor neurons. Thus, a central problem in olfactory processing is how the system is able to recognize the same stimulus across different concentrations. To signal species identity for mate recognition, some insects use the ratio of two components in a binary chemical mixture to produce a code that is invariant to dilution. Here, using psychophysical methods, we show that rats also classify binary odor mixtures according to the molar ratios of their components, spontaneously generalizing over at least a tenfold concentration range. These results indicate that extracting chemical ratio information is not restricted to pheromone signaling and suggest a general solution for concentration-invariant odor recognition by the mammalian olfactory system.
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spelling doaj.art-3fe423b942a24c739f9a79e610e989992022-12-21T19:52:50ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372008-08-01210.3389/neuro.06.003.2007116Odor concentration invariance by chemical ratio codingNaoshige Uchida0Zachary F Mainen1Cold Spring Harbor LaboratoryCold Spring Harbor LaboratoryMany animal species rely on chemical signals to extract ecologically important information from the environment. Yet in natural conditions chemical signals will frequently undergo concentration changes that produce differences in both level and pattern of activation of olfactory receptor neurons. Thus, a central problem in olfactory processing is how the system is able to recognize the same stimulus across different concentrations. To signal species identity for mate recognition, some insects use the ratio of two components in a binary chemical mixture to produce a code that is invariant to dilution. Here, using psychophysical methods, we show that rats also classify binary odor mixtures according to the molar ratios of their components, spontaneously generalizing over at least a tenfold concentration range. These results indicate that extracting chemical ratio information is not restricted to pheromone signaling and suggest a general solution for concentration-invariant odor recognition by the mammalian olfactory system.http://journal.frontiersin.org/Journal/10.3389/neuro.06.003.2007/fullconcentration-invarianceodor recognitionOlfactionratio
spellingShingle Naoshige Uchida
Zachary F Mainen
Odor concentration invariance by chemical ratio coding
Frontiers in Systems Neuroscience
concentration-invariance
odor recognition
Olfaction
ratio
title Odor concentration invariance by chemical ratio coding
title_full Odor concentration invariance by chemical ratio coding
title_fullStr Odor concentration invariance by chemical ratio coding
title_full_unstemmed Odor concentration invariance by chemical ratio coding
title_short Odor concentration invariance by chemical ratio coding
title_sort odor concentration invariance by chemical ratio coding
topic concentration-invariance
odor recognition
Olfaction
ratio
url http://journal.frontiersin.org/Journal/10.3389/neuro.06.003.2007/full
work_keys_str_mv AT naoshigeuchida odorconcentrationinvariancebychemicalratiocoding
AT zacharyfmainen odorconcentrationinvariancebychemicalratiocoding