Literature DB >> 18971467

Unmasking the CA1 ensemble place code by exposures to small and large environments: more place cells and multiple, irregularly arranged, and expanded place fields in the larger space.

André A Fenton1, Hsin-Yi Kao, Samuel A Neymotin, Andrey Olypher, Yevgeniy Vayntrub, William W Lytton, Nandor Ludvig.   

Abstract

In standard experimental environments, a constant proportion of CA1 principal cells are place cells, each with a spatial receptive field called a place field. Although the properties of place cells are a basis for understanding the mammalian representation of spatial knowledge, there is no consensus on which of the two fundamental neural-coding hypotheses correctly accounts for how place cells encode spatial information. Within the dedicated-coding hypothesis, the current activity of each cell is an independent estimate of the location with respect to its place field. The average of the location estimates from many cells represents current location, so a dedicated place code would degrade if single cells had multiple place fields. Within the alternative, ensemble-coding hypothesis, the concurrent discharge of many place cells is a vector that represents current location. An ensemble place code is not degraded if single cells have multiple place fields as long as the discharge vector at each location is unique. Place cells with multiple place fields might be required to represent the substantially larger space in more natural environments. To distinguish between the dedicated-coding and ensemble-coding hypotheses, we compared the characteristics of CA1 place fields in a standard cylinder and an approximately six times larger chamber. Compared with the cylinder, in the chamber, more CA1 neurons were place cells, each with multiple, irregularly arranged, and enlarged place fields. The results indicate that multiple place fields is a fundamental feature of CA1 place cell activity and that, consequently, an ensemble place code is required for CA1 discharge to accurately signal location.

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Year:  2008        PMID: 18971467      PMCID: PMC2695947          DOI: 10.1523/JNEUROSCI.2862-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  55 in total

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Authors:  N Ludvig
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Authors:  Torkel Hafting; Marianne Fyhn; Sturla Molden; May-Britt Moser; Edvard I Moser
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3.  A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells.

Authors:  E N Brown; L M Frank; D Tang; M C Quirk; M A Wilson
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Authors:  J O'Keefe; N Burgess
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Authors:  A A Fenton; R U Muller
Journal:  Proc Natl Acad Sci U S A       Date:  1998-03-17       Impact factor: 11.205

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Authors:  Tom J Wills; Colin Lever; Francesca Cacucci; Neil Burgess; John O'Keefe
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  65 in total

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Authors:  Samuel A Neymotin; William W Lytton; Andrey V Olypher; André A Fenton
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3.  Hebbian analysis of the transformation of medial entorhinal grid-cell inputs to hippocampal place fields.

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4.  A Distributed Neural Code in the Dentate Gyrus and in CA1.

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5.  On How the Dentate Gyrus Contributes to Memory Discrimination.

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Review 6.  Neural syntax: cell assemblies, synapsembles, and readers.

Authors:  György Buzsáki
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Authors:  André A Fenton; William W Lytton; Jeremy M Barry; Pierre-Pascal Lenck-Santini; Larissa E Zinyuk; Stepan Kubík; Jan Bures; Bruno Poucet; Robert U Muller; Andrey V Olypher
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8.  Impaired hippocampal place cell dynamics in a mouse model of the 22q11.2 deletion.

Authors:  Jeffrey D Zaremba; Anastasia Diamantopoulou; Nathan B Danielson; Andres D Grosmark; Patrick W Kaifosh; John C Bowler; Zhenrui Liao; Fraser T Sparks; Joseph A Gogos; Attila Losonczy
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9.  Dynamic grouping of hippocampal neural activity during cognitive control of two spatial frames.

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10.  Phencyclidine Discoordinates Hippocampal Network Activity But Not Place Fields.

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Journal:  J Neurosci       Date:  2017-11-08       Impact factor: 6.167

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