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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Main Authors: Martin Pyka, Sen Cheng
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24404200/pdf/?tool=EBI
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spelling doaj-58d20c92185547f7b111589e230f3cc52021-03-03T20:17:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8501610.1371/journal.pone.0085016Pattern association and consolidation emerges from connectivity properties between cortex and hippocampus.Martin PykaSen ChengThe 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24404200/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Martin Pyka
Sen Cheng
spellingShingle Martin Pyka
Sen Cheng
Pattern association and consolidation emerges from connectivity properties between cortex and hippocampus.
PLoS ONE
author_facet Martin Pyka
Sen Cheng
author_sort Martin Pyka
title 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_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_sort pattern association and consolidation emerges from connectivity properties between cortex and hippocampus.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
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.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24404200/pdf/?tool=EBI
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