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Pattern separation of spiketrains in hippocampal neurons
Pattern separation is a process that minimizes overlap between patterns of neuronal activity representing similar experiences. Theoretical work suggests that the dentate gyrus (DG) performs this role for memory processing but a direct demonstration is lacking. One limitation is the difficulty to mea...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437159/ https://www.ncbi.nlm.nih.gov/pubmed/30918288 http://dx.doi.org/10.1038/s41598-019-41503-8 |
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author | Madar, Antoine D. Ewell, Laura A. Jones, Mathew V. |
author_facet | Madar, Antoine D. Ewell, Laura A. Jones, Mathew V. |
author_sort | Madar, Antoine D. |
collection | PubMed |
description | Pattern separation is a process that minimizes overlap between patterns of neuronal activity representing similar experiences. Theoretical work suggests that the dentate gyrus (DG) performs this role for memory processing but a direct demonstration is lacking. One limitation is the difficulty to measure DG inputs and outputs simultaneously. To rigorously assess pattern separation by DG circuitry, we used mouse brain slices to stimulate DG afferents and simultaneously record DG granule cells (GCs) and interneurons. Output spiketrains of GCs are more dissimilar than their input spiketrains, demonstrating for the first time temporal pattern separation at the level of single neurons in the DG. Pattern separation is larger in GCs than in fast-spiking interneurons and hilar mossy cells, and is amplified in CA3 pyramidal cells. Analysis of the neural noise and computational modelling suggest that this form of pattern separation is not explained by simple randomness and arises from specific presynaptic dynamics. Overall, by reframing the concept of pattern separation in dynamic terms and by connecting it to the physiology of different types of neurons, our study offers a new window of understanding in how hippocampal networks might support episodic memory. |
format | Online Article Text |
id | pubmed-6437159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64371592019-04-03 Pattern separation of spiketrains in hippocampal neurons Madar, Antoine D. Ewell, Laura A. Jones, Mathew V. Sci Rep Article Pattern separation is a process that minimizes overlap between patterns of neuronal activity representing similar experiences. Theoretical work suggests that the dentate gyrus (DG) performs this role for memory processing but a direct demonstration is lacking. One limitation is the difficulty to measure DG inputs and outputs simultaneously. To rigorously assess pattern separation by DG circuitry, we used mouse brain slices to stimulate DG afferents and simultaneously record DG granule cells (GCs) and interneurons. Output spiketrains of GCs are more dissimilar than their input spiketrains, demonstrating for the first time temporal pattern separation at the level of single neurons in the DG. Pattern separation is larger in GCs than in fast-spiking interneurons and hilar mossy cells, and is amplified in CA3 pyramidal cells. Analysis of the neural noise and computational modelling suggest that this form of pattern separation is not explained by simple randomness and arises from specific presynaptic dynamics. Overall, by reframing the concept of pattern separation in dynamic terms and by connecting it to the physiology of different types of neurons, our study offers a new window of understanding in how hippocampal networks might support episodic memory. Nature Publishing Group UK 2019-03-27 /pmc/articles/PMC6437159/ /pubmed/30918288 http://dx.doi.org/10.1038/s41598-019-41503-8 Text en © The Author(s) 2019 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 Madar, Antoine D. Ewell, Laura A. Jones, Mathew V. Pattern separation of spiketrains in hippocampal neurons |
title | Pattern separation of spiketrains in hippocampal neurons |
title_full | Pattern separation of spiketrains in hippocampal neurons |
title_fullStr | Pattern separation of spiketrains in hippocampal neurons |
title_full_unstemmed | Pattern separation of spiketrains in hippocampal neurons |
title_short | Pattern separation of spiketrains in hippocampal neurons |
title_sort | pattern separation of spiketrains in hippocampal neurons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437159/ https://www.ncbi.nlm.nih.gov/pubmed/30918288 http://dx.doi.org/10.1038/s41598-019-41503-8 |
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