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A computational model for preplay in the hippocampus

The hippocampal network produces sequences of neural activity even when there is no time-varying external drive. In offline states, the temporal sequence in which place cells fire spikes correlates with the sequence of their place fields. Recent experiments found this correlation even between offlin...

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Autores principales: Azizi, Amir H., Wiskott, Laurenz, Cheng, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824291/
https://www.ncbi.nlm.nih.gov/pubmed/24282402
http://dx.doi.org/10.3389/fncom.2013.00161
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author Azizi, Amir H.
Wiskott, Laurenz
Cheng, Sen
author_facet Azizi, Amir H.
Wiskott, Laurenz
Cheng, Sen
author_sort Azizi, Amir H.
collection PubMed
description The hippocampal network produces sequences of neural activity even when there is no time-varying external drive. In offline states, the temporal sequence in which place cells fire spikes correlates with the sequence of their place fields. Recent experiments found this correlation even between offline sequential activity (OSA) recorded before the animal ran in a novel environment and the place fields in that environment. This preplay phenomenon suggests that OSA is generated intrinsically in the hippocampal network, and not established by external sensory inputs. Previous studies showed that continuous attractor networks with asymmetric patterns of connectivity, or with slow, local negative feedback, can generate sequential activity. This mechanism could account for preplay if the network only represented a single spatial map, or chart. However, global remapping in the hippocampus implies that multiple charts are represented simultaneously in the hippocampal network and it remains unknown whether the network with multiple charts can account for preplay. Here we show that it can. Driven with random inputs, the model generates sequences in every chart. Place fields in a given chart and OSA generated by the network are highly correlated. We also find significant correlations, albeit less frequently, even when the OSA is correlated with a new chart in which place fields are randomly scattered. These correlations arise from random correlations between the orderings of place fields in the new chart and those in a pre-existing chart. Our results suggest two different accounts for preplay. Either an existing chart is re-used to represent a novel environment or a new chart is formed.
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spelling pubmed-38242912013-11-26 A computational model for preplay in the hippocampus Azizi, Amir H. Wiskott, Laurenz Cheng, Sen Front Comput Neurosci Neuroscience The hippocampal network produces sequences of neural activity even when there is no time-varying external drive. In offline states, the temporal sequence in which place cells fire spikes correlates with the sequence of their place fields. Recent experiments found this correlation even between offline sequential activity (OSA) recorded before the animal ran in a novel environment and the place fields in that environment. This preplay phenomenon suggests that OSA is generated intrinsically in the hippocampal network, and not established by external sensory inputs. Previous studies showed that continuous attractor networks with asymmetric patterns of connectivity, or with slow, local negative feedback, can generate sequential activity. This mechanism could account for preplay if the network only represented a single spatial map, or chart. However, global remapping in the hippocampus implies that multiple charts are represented simultaneously in the hippocampal network and it remains unknown whether the network with multiple charts can account for preplay. Here we show that it can. Driven with random inputs, the model generates sequences in every chart. Place fields in a given chart and OSA generated by the network are highly correlated. We also find significant correlations, albeit less frequently, even when the OSA is correlated with a new chart in which place fields are randomly scattered. These correlations arise from random correlations between the orderings of place fields in the new chart and those in a pre-existing chart. Our results suggest two different accounts for preplay. Either an existing chart is re-used to represent a novel environment or a new chart is formed. Frontiers Media S.A. 2013-11-12 /pmc/articles/PMC3824291/ /pubmed/24282402 http://dx.doi.org/10.3389/fncom.2013.00161 Text en Copyright © 2013 Azizi, Wiskott and Cheng. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Azizi, Amir H.
Wiskott, Laurenz
Cheng, Sen
A computational model for preplay in the hippocampus
title A computational model for preplay in the hippocampus
title_full A computational model for preplay in the hippocampus
title_fullStr A computational model for preplay in the hippocampus
title_full_unstemmed A computational model for preplay in the hippocampus
title_short A computational model for preplay in the hippocampus
title_sort computational model for preplay in the hippocampus
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824291/
https://www.ncbi.nlm.nih.gov/pubmed/24282402
http://dx.doi.org/10.3389/fncom.2013.00161
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