Literature DB >> 32779570

A theory of joint attractor dynamics in the hippocampus and the entorhinal cortex accounts for artificial remapping and grid cell field-to-field variability.

Haggai Agmon1, Yoram Burak1,2.   

Abstract

The representation of position in the mammalian brain is distributed across multiple neural populations. Grid cell modules in the medial entorhinal cortex (MEC) express activity patterns that span a low-dimensional manifold which remains stable across different environments. In contrast, the activity patterns of hippocampal place cells span distinct low-dimensional manifolds in different environments. It is unknown how these multiple representations of position are coordinated. Here, we develop a theory of joint attractor dynamics in the hippocampus and the MEC. We show that the system exhibits a coordinated, joint representation of position across multiple environments, consistent with global remapping in place cells and grid cells. In addition, our model accounts for recent experimental observations that lack a mechanistic explanation: variability in the firing rate of single grid cells across firing fields, and artificial remapping of place cells under depolarization, but not under hyperpolarization, of layer II stellate cells of the MEC.
© 2020, Agmon and Burak.

Entities:  

Keywords:  attractor networks; computational neuroscience; entorhinal cortex; hippcampus; mouse; neuroscience; rat; spatial memory; theoretical neuroscience

Mesh:

Year:  2020        PMID: 32779570      PMCID: PMC7447444          DOI: 10.7554/eLife.56894

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


  73 in total

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Journal:  Science       Date:  2004-07-22       Impact factor: 47.728

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Journal:  Neuron       Date:  2015-11-04       Impact factor: 17.173

3.  The emergence of grid cells: Intelligent design or just adaptation?

Authors:  Emilio Kropff; Alessandro Treves
Journal:  Hippocampus       Date:  2008       Impact factor: 3.899

Review 4.  Grid cells: the position code, neural network models of activity, and the problem of learning.

Authors:  Peter E Welinder; Yoram Burak; Ila R Fiete
Journal:  Hippocampus       Date:  2008       Impact factor: 3.899

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Journal:  Phys Rev A Gen Phys       Date:  1985-08

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Authors:  Julie Koenig; Ashley N Linder; Jill K Leutgeb; Stefan Leutgeb
Journal:  Science       Date:  2011-04-29       Impact factor: 47.728

7.  The firing of hippocampal place cells in the dark depends on the rat's recent experience.

Authors:  G J Quirk; R U Muller; J L Kubie
Journal:  J Neurosci       Date:  1990-06       Impact factor: 6.167

8.  Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors.

Authors:  Sean G Trettel; John B Trimper; Ernie Hwaun; Ila R Fiete; Laura Lee Colgin
Journal:  Nat Neurosci       Date:  2019-03-25       Impact factor: 24.884

Review 9.  Deciphering the hippocampal polyglot: the hippocampus as a path integration system.

Authors:  B L McNaughton; C A Barnes; J L Gerrard; K Gothard; M W Jung; J J Knierim; H Kudrimoti; Y Qin; W E Skaggs; M Suster; K L Weaver
Journal:  J Exp Biol       Date:  1996-01       Impact factor: 3.312

10.  Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models.

Authors:  Marcello Mulas; Nicolai Waniek; Jörg Conradt
Journal:  Front Comput Neurosci       Date:  2016-02-17       Impact factor: 2.380

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  7 in total

Review 1.  The grid code for ordered experience.

Authors:  Jon W Rueckemann; Marielena Sosa; Lisa M Giocomo; Elizabeth A Buffalo
Journal:  Nat Rev Neurosci       Date:  2021-08-27       Impact factor: 38.755

2.  Learning Spatiotemporal Properties of Hippocampal Place Cells.

Authors:  Yanbo Lian; Anthony N Burkitt
Journal:  eNeuro       Date:  2022-07-12

Review 3.  Challenges for Place and Grid Cell Models.

Authors:  Oleksandra Soldatkina; Francesca Schönsberg; Alessandro Treves
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

4.  Place-cell capacity and volatility with grid-like inputs.

Authors:  Man Yi Yim; Lorenzo A Sadun; Ila R Fiete; Thibaud Taillefumier
Journal:  Elife       Date:  2021-05-24       Impact factor: 8.140

5.  Grid-cell modules remain coordinated when neural activity is dissociated from external sensory cues.

Authors:  Torgeir Waaga; Haggai Agmon; Valentin A Normand; Anne Nagelhus; Richard J Gardner; May-Britt Moser; Edvard I Moser; Yoram Burak
Journal:  Neuron       Date:  2022-04-05       Impact factor: 18.688

6.  Noise-driven bifurcations in a neural field system modelling networks of grid cells.

Authors:  José A Carrillo; Helge Holden; Susanne Solem
Journal:  J Math Biol       Date:  2022-09-27       Impact factor: 2.164

7.  Learning an Efficient Hippocampal Place Map from Entorhinal Inputs Using Non-Negative Sparse Coding.

Authors:  Yanbo Lian; Anthony N Burkitt
Journal:  eNeuro       Date:  2021-07-08
  7 in total

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