Literature DB >> 29869611

Uncovering temporal structure in hippocampal output patterns.

Kourosh Maboudi1,2, Etienne Ackermann3, Kamran Diba1,2, Caleb Kemere3, Laurel Watkins de Jong1,2, Brad E Pfeiffer4, David Foster5,6.   

Abstract

Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Replay is observed during hippocampal sharp-wave-ripple-associated population burst events (PBEs) and is critical for consolidation and recall-guided behaviors. PBE activity has historically been analyzed as a phenomenon subordinate to the place code. Here, we use hidden Markov models to study PBEs observed in rats during exploration of both linear mazes and open fields. We demonstrate that estimated models are consistent with a spatial map of the environment, and can even decode animals' positions during behavior. Moreover, we demonstrate the model can be used to identify hippocampal replay without recourse to the place code, using only PBE model congruence. These results suggest that downstream regions may rely on PBEs to provide a substrate for memory. Additionally, by forming models independent of animal behavior, we lay the groundwork for studies of non-spatial memory.
© 2018, Maboudi et al.

Entities:  

Keywords:  hidden Markov models; hippocampus; neuroscience; rat; replay; sharp wave ripples

Mesh:

Year:  2018        PMID: 29869611      PMCID: PMC6013258          DOI: 10.7554/eLife.34467

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  48 in total

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2.  A model of hippocampal activity in trace conditioning: where's the trace?

Authors:  P Rodriguez; W B Levy
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3.  Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences.

Authors:  Andres D Grosmark; György Buzsáki
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5.  Sleep deprivation during a specific 3-hour time window post-training impairs hippocampal synaptic plasticity and memory.

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6.  The structure of networks that produce the transformation from grid cells to place cells.

Authors:  S Cheng; L M Frank
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7.  Hippocampal replay is not a simple function of experience.

Authors:  Anoopum S Gupta; Matthijs A A van der Meer; David S Touretzky; A David Redish
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8.  Network dynamics underlying the formation of sparse, informative representations in the hippocampus.

Authors:  Mattias P Karlsson; Loren M Frank
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9.  Neural representation of spatial topology in the rodent hippocampus.

Authors:  Zhe Chen; Stephen N Gomperts; Jun Yamamoto; Matthew A Wilson
Journal:  Neural Comput       Date:  2013-10-08       Impact factor: 2.026

Review 10.  Cellular bases of hippocampal EEG in the behaving rat.

Authors:  G Buzsáki; L W Leung; C H Vanderwolf
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  21 in total

1.  Hippocampal Reactivation Extends for Several Hours Following Novel Experience.

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2.  Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience.

Authors:  Emily L Mackevicius; Andrew H Bahle; Alex H Williams; Shijie Gu; Natalia I Denisenko; Mark S Goldman; Michale S Fee
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Review 3.  On the methods for reactivation and replay analysis.

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4.  Progress and issues in second-order analysis of hippocampal replay.

Authors:  Matthijs A A van der Meer; Caleb Kemere; Kamran Diba
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5.  Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.

Authors:  Mengyu Tu; Ruohe Zhao; Avital Adler; Wen-Biao Gan; Zhe S Chen
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6.  Tracing a Path for Memory in the Hippocampus.

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Review 7.  Cortical computations via metastable activity.

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Review 8.  Metastable dynamics of neural circuits and networks.

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9.  State-Dependent Regulation of Cortical Processing Speed via Gain Modulation.

Authors:  David Wyrick; Luca Mazzucato
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10.  Temporally delayed linear modelling (TDLM) measures replay in both animals and humans.

Authors:  Yunzhe Liu; Raymond J Dolan; Cameron Higgins; Hector Penagos; Mark W Woolrich; H Freyja Ólafsdóttir; Caswell Barry; Zeb Kurth-Nelson; Timothy E Behrens
Journal:  Elife       Date:  2021-06-07       Impact factor: 8.140

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