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Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations
Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200700/ https://www.ncbi.nlm.nih.gov/pubmed/32371879 http://dx.doi.org/10.1038/s41467-020-15840-6 |
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author | Navas-Olive, Andrea Valero, Manuel Jurado-Parras, Teresa de Salas-Quiroga, Adan Averkin, Robert G. Gambino, Giuditta Cid, Elena de la Prida, Liset M. |
author_facet | Navas-Olive, Andrea Valero, Manuel Jurado-Parras, Teresa de Salas-Quiroga, Adan Averkin, Robert G. Gambino, Giuditta Cid, Elena de la Prida, Liset M. |
author_sort | Navas-Olive, Andrea |
collection | PubMed |
description | Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by unsupervised methods demonstrated that firing selection is tuneable across sublayers. Our data identify different mechanisms of phase-locking selectivity that are instrumental for flexible dynamical representations of theta sequences. |
format | Online Article Text |
id | pubmed-7200700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72007002020-05-07 Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations Navas-Olive, Andrea Valero, Manuel Jurado-Parras, Teresa de Salas-Quiroga, Adan Averkin, Robert G. Gambino, Giuditta Cid, Elena de la Prida, Liset M. Nat Commun Article Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by unsupervised methods demonstrated that firing selection is tuneable across sublayers. Our data identify different mechanisms of phase-locking selectivity that are instrumental for flexible dynamical representations of theta sequences. Nature Publishing Group UK 2020-05-05 /pmc/articles/PMC7200700/ /pubmed/32371879 http://dx.doi.org/10.1038/s41467-020-15840-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Navas-Olive, Andrea Valero, Manuel Jurado-Parras, Teresa de Salas-Quiroga, Adan Averkin, Robert G. Gambino, Giuditta Cid, Elena de la Prida, Liset M. Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title | Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title_full | Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title_fullStr | Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title_full_unstemmed | Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title_short | Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
title_sort | multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200700/ https://www.ncbi.nlm.nih.gov/pubmed/32371879 http://dx.doi.org/10.1038/s41467-020-15840-6 |
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