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The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups

Signal processing of odor inputs to the olfactory bulb (OB) changes through top-down modulation whose shaping of neural rhythms in response to changes in stimulus intensity is not understood. Here we asked whether the representation of a high vs. low intensity odorant in the OB by oscillatory neural...

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Autores principales: Losacco, Justin, George, Nicholas M., Hiratani, Naoki, Restrepo, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759615/
https://www.ncbi.nlm.nih.gov/pubmed/33362477
http://dx.doi.org/10.3389/fncel.2020.613635
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author Losacco, Justin
George, Nicholas M.
Hiratani, Naoki
Restrepo, Diego
author_facet Losacco, Justin
George, Nicholas M.
Hiratani, Naoki
Restrepo, Diego
author_sort Losacco, Justin
collection PubMed
description Signal processing of odor inputs to the olfactory bulb (OB) changes through top-down modulation whose shaping of neural rhythms in response to changes in stimulus intensity is not understood. Here we asked whether the representation of a high vs. low intensity odorant in the OB by oscillatory neural activity changed as the animal learned to discriminate odorant concentration ranges in a go-no go task. We trained mice to discriminate between high vs. low concentration odorants by learning to lick to the rewarded group (low or high). We recorded the local field potential (LFP) in the OB of these mice and calculated the theta-referenced beta or gamma oscillation power (theta phase-referenced power, or tPRP). We found that as the mouse learned to differentiate odorant concentrations, tPRP diverged between trials for the rewarded vs. the unrewarded concentration range. For the proficient animal, linear discriminant analysis was able to predict the rewarded odorant group and the performance of this classifier correlated with the percent correct behavior in the odor concentration discrimination task. Interestingly, the behavioral response and decoding accuracy were asymmetric as a function of concentration when the rewarded stimulus was shifted between the high and low odorant concentration ranges. A model for decision making motivated by the statistics of OB activity that uses a single threshold in a logarithmic concentration scale displays this asymmetry. Taken together with previous studies on the intensity criteria for decisions on odorant concentrations, our finding suggests that OB oscillatory events facilitate decision making to classify concentrations using a single intensity criterion.
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spelling pubmed-77596152020-12-26 The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups Losacco, Justin George, Nicholas M. Hiratani, Naoki Restrepo, Diego Front Cell Neurosci Cellular Neuroscience Signal processing of odor inputs to the olfactory bulb (OB) changes through top-down modulation whose shaping of neural rhythms in response to changes in stimulus intensity is not understood. Here we asked whether the representation of a high vs. low intensity odorant in the OB by oscillatory neural activity changed as the animal learned to discriminate odorant concentration ranges in a go-no go task. We trained mice to discriminate between high vs. low concentration odorants by learning to lick to the rewarded group (low or high). We recorded the local field potential (LFP) in the OB of these mice and calculated the theta-referenced beta or gamma oscillation power (theta phase-referenced power, or tPRP). We found that as the mouse learned to differentiate odorant concentrations, tPRP diverged between trials for the rewarded vs. the unrewarded concentration range. For the proficient animal, linear discriminant analysis was able to predict the rewarded odorant group and the performance of this classifier correlated with the percent correct behavior in the odor concentration discrimination task. Interestingly, the behavioral response and decoding accuracy were asymmetric as a function of concentration when the rewarded stimulus was shifted between the high and low odorant concentration ranges. A model for decision making motivated by the statistics of OB activity that uses a single threshold in a logarithmic concentration scale displays this asymmetry. Taken together with previous studies on the intensity criteria for decisions on odorant concentrations, our finding suggests that OB oscillatory events facilitate decision making to classify concentrations using a single intensity criterion. Frontiers Media S.A. 2020-12-11 /pmc/articles/PMC7759615/ /pubmed/33362477 http://dx.doi.org/10.3389/fncel.2020.613635 Text en Copyright © 2020 Losacco, George, Hiratani and Restrepo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular Neuroscience
Losacco, Justin
George, Nicholas M.
Hiratani, Naoki
Restrepo, Diego
The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title_full The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title_fullStr The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title_full_unstemmed The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title_short The Olfactory Bulb Facilitates Use of Category Bounds for Classification of Odorants in Different Intensity Groups
title_sort olfactory bulb facilitates use of category bounds for classification of odorants in different intensity groups
topic Cellular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759615/
https://www.ncbi.nlm.nih.gov/pubmed/33362477
http://dx.doi.org/10.3389/fncel.2020.613635
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