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Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus

The basic structure of the cortico-hippocampal system is highly conserved across mammalian species. Comparatively few hippocampal neurons can represent and address a multitude of cortical patterns, establish associations between cortical patterns and consolidate these associations in the cortex. In...

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Autores principales: Pyka, Martin, Cheng, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880336/
https://www.ncbi.nlm.nih.gov/pubmed/24404200
http://dx.doi.org/10.1371/journal.pone.0085016
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author Pyka, Martin
Cheng, Sen
author_facet Pyka, Martin
Cheng, Sen
author_sort Pyka, Martin
collection PubMed
description The basic structure of the cortico-hippocampal system is highly conserved across mammalian species. Comparatively few hippocampal neurons can represent and address a multitude of cortical patterns, establish associations between cortical patterns and consolidate these associations in the cortex. In this study, we investigate how elementary anatomical properties in the cortex-hippocampus loop along with synaptic plasticity contribute to these functions. Specifically, we focus on the high degree of connectivity between cortex and hippocampus leading to converging and diverging forward and backward projections and heterogenous synaptic transmission delays that result from the detached location of the hippocampus and its multiple loops. We found that in a model incorporating these concepts, each cortical pattern can evoke a unique spatio-temporal spiking pattern in hippocampal neurons. This hippocampal response facilitates a reliable disambiguation of learned associations and a bridging of a time interval larger than the time window of spike-timing dependent plasticity in the cortex. Moreover, we found that repeated retrieval of a stored association leads to a compression of the interval between cue presentation and retrieval of the associated pattern from the cortex. Neither a high degree of connectivity nor heterogenous synaptic delays alone is sufficient for this behavior. We conclude that basic anatomical properties between cortex and hippocampus implement mechanisms for representing and consolidating temporal information. Since our model reveals the observed functions for a range of parameters, we suggest that these functions are robust to evolutionary changes consistent with the preserved function of the hippocampal loop across different species.
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spelling pubmed-38803362014-01-08 Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus Pyka, Martin Cheng, Sen PLoS One Research Article The basic structure of the cortico-hippocampal system is highly conserved across mammalian species. Comparatively few hippocampal neurons can represent and address a multitude of cortical patterns, establish associations between cortical patterns and consolidate these associations in the cortex. In this study, we investigate how elementary anatomical properties in the cortex-hippocampus loop along with synaptic plasticity contribute to these functions. Specifically, we focus on the high degree of connectivity between cortex and hippocampus leading to converging and diverging forward and backward projections and heterogenous synaptic transmission delays that result from the detached location of the hippocampus and its multiple loops. We found that in a model incorporating these concepts, each cortical pattern can evoke a unique spatio-temporal spiking pattern in hippocampal neurons. This hippocampal response facilitates a reliable disambiguation of learned associations and a bridging of a time interval larger than the time window of spike-timing dependent plasticity in the cortex. Moreover, we found that repeated retrieval of a stored association leads to a compression of the interval between cue presentation and retrieval of the associated pattern from the cortex. Neither a high degree of connectivity nor heterogenous synaptic delays alone is sufficient for this behavior. We conclude that basic anatomical properties between cortex and hippocampus implement mechanisms for representing and consolidating temporal information. Since our model reveals the observed functions for a range of parameters, we suggest that these functions are robust to evolutionary changes consistent with the preserved function of the hippocampal loop across different species. Public Library of Science 2014-01-03 /pmc/articles/PMC3880336/ /pubmed/24404200 http://dx.doi.org/10.1371/journal.pone.0085016 Text en © 2014 Pyka, Cheng http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pyka, Martin
Cheng, Sen
Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title_full Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title_fullStr Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title_full_unstemmed Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title_short Pattern Association and Consolidation Emerges from Connectivity Properties between Cortex and Hippocampus
title_sort pattern association and consolidation emerges from connectivity properties between cortex and hippocampus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880336/
https://www.ncbi.nlm.nih.gov/pubmed/24404200
http://dx.doi.org/10.1371/journal.pone.0085016
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