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Active Licking Shapes Cortical Taste Coding

Neurons in the gustatory cortex (GC) represent taste through time-varying changes in their spiking activity. The predominant view is that the neural firing rate represents the sole unit of taste information. It is currently not known whether the phase of spikes relative to lick timing is used by GC...

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Autores principales: Neese, Camden, Bouaichi, Cecilia G., Needham, Tom, Bauer, Martin, Bertram, Richard, Vincis, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671578/
https://www.ncbi.nlm.nih.gov/pubmed/36195439
http://dx.doi.org/10.1523/JNEUROSCI.0942-22.2022
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author Neese, Camden
Bouaichi, Cecilia G.
Needham, Tom
Bauer, Martin
Bertram, Richard
Vincis, Roberto
author_facet Neese, Camden
Bouaichi, Cecilia G.
Needham, Tom
Bauer, Martin
Bertram, Richard
Vincis, Roberto
author_sort Neese, Camden
collection PubMed
description Neurons in the gustatory cortex (GC) represent taste through time-varying changes in their spiking activity. The predominant view is that the neural firing rate represents the sole unit of taste information. It is currently not known whether the phase of spikes relative to lick timing is used by GC neurons for taste encoding. To address this question, we recorded spiking activity from >500 single GC neurons in male and female mice permitted to freely lick to receive four liquid gustatory stimuli and water. We developed a set of data analysis tools to determine the ability of GC neurons to discriminate gustatory information and then to quantify the degree to which this information exists in the spike rate versus the spike timing or phase relative to licks. These tools include machine learning algorithms for classification of spike trains and methods from geometric shape and functional data analysis. Our results show that while GC neurons primarily encode taste information using a rate code, the timing of spikes is also an important factor in taste discrimination. A further finding is that taste discrimination using spike timing is improved when the timing of licks is considered in the analysis. That is, the interlick phase of spiking provides more information than the absolute spike timing itself. Overall, our analysis demonstrates that the ability of GC neurons to distinguish among tastes is best when spike rate and timing is interpreted relative to the timing of licks. SIGNIFICANCE STATEMENT Neurons represent information from the outside world via changes in their number of action potentials (spikes) over time. This study examines how neurons in the mouse gustatory cortex (GC) encode taste information when gustatory stimuli are experienced through the active process of licking. We use electrophysiological recordings and data analysis tools to evaluate the ability of GC neurons to distinguish tastants and then to quantify the degree to which this information exists in the spike rate versus the spike timing relative to licks. We show that the neuron's ability to distinguish between tastes is higher when spike rate and timing are interpreted relative to the timing of licks, indicating that the lick cycle is a key factor for taste processing.
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spelling pubmed-96715782022-11-18 Active Licking Shapes Cortical Taste Coding Neese, Camden Bouaichi, Cecilia G. Needham, Tom Bauer, Martin Bertram, Richard Vincis, Roberto J Neurosci Research Articles Neurons in the gustatory cortex (GC) represent taste through time-varying changes in their spiking activity. The predominant view is that the neural firing rate represents the sole unit of taste information. It is currently not known whether the phase of spikes relative to lick timing is used by GC neurons for taste encoding. To address this question, we recorded spiking activity from >500 single GC neurons in male and female mice permitted to freely lick to receive four liquid gustatory stimuli and water. We developed a set of data analysis tools to determine the ability of GC neurons to discriminate gustatory information and then to quantify the degree to which this information exists in the spike rate versus the spike timing or phase relative to licks. These tools include machine learning algorithms for classification of spike trains and methods from geometric shape and functional data analysis. Our results show that while GC neurons primarily encode taste information using a rate code, the timing of spikes is also an important factor in taste discrimination. A further finding is that taste discrimination using spike timing is improved when the timing of licks is considered in the analysis. That is, the interlick phase of spiking provides more information than the absolute spike timing itself. Overall, our analysis demonstrates that the ability of GC neurons to distinguish among tastes is best when spike rate and timing is interpreted relative to the timing of licks. SIGNIFICANCE STATEMENT Neurons represent information from the outside world via changes in their number of action potentials (spikes) over time. This study examines how neurons in the mouse gustatory cortex (GC) encode taste information when gustatory stimuli are experienced through the active process of licking. We use electrophysiological recordings and data analysis tools to evaluate the ability of GC neurons to distinguish tastants and then to quantify the degree to which this information exists in the spike rate versus the spike timing relative to licks. We show that the neuron's ability to distinguish between tastes is higher when spike rate and timing are interpreted relative to the timing of licks, indicating that the lick cycle is a key factor for taste processing. Society for Neuroscience 2022-11-16 /pmc/articles/PMC9671578/ /pubmed/36195439 http://dx.doi.org/10.1523/JNEUROSCI.0942-22.2022 Text en Copyright © 2022 Neese et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Articles
Neese, Camden
Bouaichi, Cecilia G.
Needham, Tom
Bauer, Martin
Bertram, Richard
Vincis, Roberto
Active Licking Shapes Cortical Taste Coding
title Active Licking Shapes Cortical Taste Coding
title_full Active Licking Shapes Cortical Taste Coding
title_fullStr Active Licking Shapes Cortical Taste Coding
title_full_unstemmed Active Licking Shapes Cortical Taste Coding
title_short Active Licking Shapes Cortical Taste Coding
title_sort active licking shapes cortical taste coding
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671578/
https://www.ncbi.nlm.nih.gov/pubmed/36195439
http://dx.doi.org/10.1523/JNEUROSCI.0942-22.2022
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