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Learning-related population dynamics in the auditory thalamus

Learning to associate sensory stimuli with a chosen action involves a dynamic interplay between cortical and thalamic circuits. While the cortex has been widely studied in this respect, how the thalamus encodes learning-related information is still largely unknown. We studied learning-related activi...

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Detalles Bibliográficos
Autores principales: Gilad, Ariel, Maor, Ido, Mizrahi, Adi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371423/
https://www.ncbi.nlm.nih.gov/pubmed/32639231
http://dx.doi.org/10.7554/eLife.56307
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author Gilad, Ariel
Maor, Ido
Mizrahi, Adi
author_facet Gilad, Ariel
Maor, Ido
Mizrahi, Adi
author_sort Gilad, Ariel
collection PubMed
description Learning to associate sensory stimuli with a chosen action involves a dynamic interplay between cortical and thalamic circuits. While the cortex has been widely studied in this respect, how the thalamus encodes learning-related information is still largely unknown. We studied learning-related activity in the medial geniculate body (MGB; Auditory thalamus), targeting mainly the dorsal and medial regions. Using fiber photometry, we continuously imaged population calcium dynamics as mice learned a go/no-go auditory discrimination task. The MGB was tuned to frequency and responded to cognitive features like the choice of the mouse within several hundred milliseconds. Encoding of choice in the MGB increased with learning, and was highly correlated with the learning curves of the mice. MGB also encoded motor parameters of the mouse during the task. These results provide evidence that the MGB encodes task- motor- and learning-related information.
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spelling pubmed-73714232020-07-22 Learning-related population dynamics in the auditory thalamus Gilad, Ariel Maor, Ido Mizrahi, Adi eLife Neuroscience Learning to associate sensory stimuli with a chosen action involves a dynamic interplay between cortical and thalamic circuits. While the cortex has been widely studied in this respect, how the thalamus encodes learning-related information is still largely unknown. We studied learning-related activity in the medial geniculate body (MGB; Auditory thalamus), targeting mainly the dorsal and medial regions. Using fiber photometry, we continuously imaged population calcium dynamics as mice learned a go/no-go auditory discrimination task. The MGB was tuned to frequency and responded to cognitive features like the choice of the mouse within several hundred milliseconds. Encoding of choice in the MGB increased with learning, and was highly correlated with the learning curves of the mice. MGB also encoded motor parameters of the mouse during the task. These results provide evidence that the MGB encodes task- motor- and learning-related information. eLife Sciences Publications, Ltd 2020-07-08 /pmc/articles/PMC7371423/ /pubmed/32639231 http://dx.doi.org/10.7554/eLife.56307 Text en © 2020, Gilad et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Gilad, Ariel
Maor, Ido
Mizrahi, Adi
Learning-related population dynamics in the auditory thalamus
title Learning-related population dynamics in the auditory thalamus
title_full Learning-related population dynamics in the auditory thalamus
title_fullStr Learning-related population dynamics in the auditory thalamus
title_full_unstemmed Learning-related population dynamics in the auditory thalamus
title_short Learning-related population dynamics in the auditory thalamus
title_sort learning-related population dynamics in the auditory thalamus
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371423/
https://www.ncbi.nlm.nih.gov/pubmed/32639231
http://dx.doi.org/10.7554/eLife.56307
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