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Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits
Memory generalization is the ability to abstract knowledge from prior experiences and is critical for flexible behavior in novel situations. Here, we describe a protocol for simultaneous recording of hippocampal (area CA1)-prefrontal cortical neural ensembles in Long-Evans rats during task generaliz...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448425/ https://www.ncbi.nlm.nih.gov/pubmed/37572325 http://dx.doi.org/10.1016/j.xpro.2023.102513 |
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author | Shin, Justin D. Tang, Wenbo Jadhav, Shantanu P. |
author_facet | Shin, Justin D. Tang, Wenbo Jadhav, Shantanu P. |
author_sort | Shin, Justin D. |
collection | PubMed |
description | Memory generalization is the ability to abstract knowledge from prior experiences and is critical for flexible behavior in novel situations. Here, we describe a protocol for simultaneous recording of hippocampal (area CA1)-prefrontal cortical neural ensembles in Long-Evans rats during task generalization across two distinct environments. We describe steps for building and assembling experimental apparatuses, animal preparation and surgery, and performing experiments. We then detail procedures for histology, data processing, and assessing population geometry using Uniform Manifold Approximation and Projection. For complete details on the use and execution of this protocol, please refer to Tang et al. (2023).(1) |
format | Online Article Text |
id | pubmed-10448425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104484252023-08-25 Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits Shin, Justin D. Tang, Wenbo Jadhav, Shantanu P. STAR Protoc Protocol Memory generalization is the ability to abstract knowledge from prior experiences and is critical for flexible behavior in novel situations. Here, we describe a protocol for simultaneous recording of hippocampal (area CA1)-prefrontal cortical neural ensembles in Long-Evans rats during task generalization across two distinct environments. We describe steps for building and assembling experimental apparatuses, animal preparation and surgery, and performing experiments. We then detail procedures for histology, data processing, and assessing population geometry using Uniform Manifold Approximation and Projection. For complete details on the use and execution of this protocol, please refer to Tang et al. (2023).(1) Elsevier 2023-08-11 /pmc/articles/PMC10448425/ /pubmed/37572325 http://dx.doi.org/10.1016/j.xpro.2023.102513 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Shin, Justin D. Tang, Wenbo Jadhav, Shantanu P. Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title | Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title_full | Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title_fullStr | Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title_full_unstemmed | Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title_short | Protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
title_sort | protocol for geometric transformation of cognitive maps for generalization across hippocampal-prefrontal circuits |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448425/ https://www.ncbi.nlm.nih.gov/pubmed/37572325 http://dx.doi.org/10.1016/j.xpro.2023.102513 |
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