Literature DB >> 28701481

Place and Grid Cells in a Loop: Implications for Memory Function and Spatial Coding.

César Rennó-Costa1,2, Adriano B L Tort2.   

Abstract

Place cells in the hippocampus and grid cells in the medial entorhinal cortex have different codes for space. However, how one code relates to the other is ill understood. Based on the anatomy of the entorhinal-hippocampal circuitry, we constructed a model of place and grid cells organized in a loop to investigate their mutual influence in the establishment of their codes for space. Using computer simulations, we first replicated experiments in rats that measured place and grid cell activity in different environments, and then assessed which features of the model account for different phenomena observed in neurophysiological data, such as pattern completion and pattern separation, global and rate remapping of place cells, and realignment of grid cells. We found that (1) the interaction between grid and place cells converges quickly; (2) the spatial code of place cells does not require, but is altered by, grid cell input; (3) plasticity in sensory inputs to place cells is key for pattern completion but not pattern separation; (4) grid realignment can be explained in terms of place cell remapping as opposed to the other way around; (5) the switch between global and rate remapping is self-organized; and (6) grid cell input to place cells helps stabilize their code under noisy and/or inconsistent sensory input. We conclude that the hippocampus-entorhinal circuit uses the mutual interaction of place and grid cells to encode the surrounding environment and propose a theory on how such interdependence underlies the formation and use of the cognitive map.SIGNIFICANCE STATEMENT The mammalian brain implements a positional system with two key pieces: place and grid cells. To gain insight into the dynamics of place and grid cell interaction, we built a computational model with the two cell types organized in a loop. The proposed model accounts for differences in how place and grid cells represent different environments and provides a new interpretation in which place and grid cells mutually interact to form a coupled code for space.
Copyright © 2017 the authors 0270-6474/17/378062-15$15.00/0.

Entities:  

Keywords:  entorhinal cortex; grid cell; hippocampus; pattern completion; place cell; remapping

Mesh:

Year:  2017        PMID: 28701481      PMCID: PMC6596788          DOI: 10.1523/JNEUROSCI.3490-16.2017

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


  62 in total

1.  Modeling place fields in terms of the cortical inputs to the hippocampus.

Authors:  T Hartley; N Burgess; C Lever; F Cacucci; J O'Keefe
Journal:  Hippocampus       Date:  2000       Impact factor: 3.899

2.  Distinct ensemble codes in hippocampal areas CA3 and CA1.

Authors:  Stefan Leutgeb; Jill K Leutgeb; Alessandro Treves; May-Britt Moser; Edvard I Moser
Journal:  Science       Date:  2004-07-22       Impact factor: 47.728

3.  The long-term stability of new hippocampal place fields requires new protein synthesis.

Authors:  Naveen T Agnihotri; Robert D Hawkins; Eric R Kandel; Clifford Kentros
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-25       Impact factor: 11.205

4.  Progressive transformation of hippocampal neuronal representations in "morphed" environments.

Authors:  Jill K Leutgeb; Stefan Leutgeb; Alessandro Treves; Retsina Meyer; Carol A Barnes; Bruce L McNaughton; May-Britt Moser; Edvard I Moser
Journal:  Neuron       Date:  2005-10-20       Impact factor: 17.173

5.  Microstructure of a spatial map in the entorhinal cortex.

Authors:  Torkel Hafting; Marianne Fyhn; Sturla Molden; May-Britt Moser; Edvard I Moser
Journal:  Nature       Date:  2005-06-19       Impact factor: 49.962

6.  Independent codes for spatial and episodic memory in hippocampal neuronal ensembles.

Authors:  Stefan Leutgeb; Jill K Leutgeb; Carol A Barnes; Edvard I Moser; Bruce L McNaughton; May-Britt Moser
Journal:  Science       Date:  2005-07-22       Impact factor: 47.728

Review 7.  Path integration and the neural basis of the 'cognitive map'.

Authors:  Bruce L McNaughton; Francesco P Battaglia; Ole Jensen; Edvard I Moser; May-Britt Moser
Journal:  Nat Rev Neurosci       Date:  2006-08       Impact factor: 34.870

8.  Pattern separation in the dentate gyrus and CA3 of the hippocampus.

Authors:  Jill K Leutgeb; Stefan Leutgeb; May-Britt Moser; Edvard I Moser
Journal:  Science       Date:  2007-02-16       Impact factor: 47.728

9.  Attractor dynamics in the hippocampal representation of the local environment.

Authors:  Tom J Wills; Colin Lever; Francesca Cacucci; Neil Burgess; John O'Keefe
Journal:  Science       Date:  2005-05-06       Impact factor: 47.728

10.  A model of the ventral visual system based on temporal stability and local memory.

Authors:  Reto Wyss; Peter König; Paul F M J Verschure
Journal:  PLoS Biol       Date:  2006-04-18       Impact factor: 8.029

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  15 in total

1.  Hippocampal theta coordinates memory processing during visual exploration.

Authors:  James E Kragel; Stephen VanHaerents; Jessica W Templer; Stephan Schuele; Joshua M Rosenow; Aneesha S Nilakantan; Donna J Bridge
Journal:  Elife       Date:  2020-03-13       Impact factor: 8.140

2.  Regulation of gamma-frequency oscillation by feedforward inhibition: A computational modeling study.

Authors:  César Rennó-Costa; Daniel Garcia Teixeira; Ivan Soltesz
Journal:  Hippocampus       Date:  2019-04-16       Impact factor: 3.899

Review 3.  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

Review 4.  Connectivity concepts in neuronal network modeling.

Authors:  Johanna Senk; Birgit Kriener; Mikael Djurfeldt; Nicole Voges; Han-Jia Jiang; Lisa Schüttler; Gabriele Gramelsberger; Markus Diesmann; Hans E Plesser; Sacha J van Albada
Journal:  PLoS Comput Biol       Date:  2022-09-08       Impact factor: 4.779

5.  Learning Spatiotemporal Properties of Hippocampal Place Cells.

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

6.  Theta sequences of grid cell populations can provide a movement-direction signal.

Authors:  Ipshita Zutshi; Jill K Leutgeb; Stefan Leutgeb
Journal:  Curr Opin Behav Sci       Date:  2017-09-01

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

Authors:  Haggai Agmon; Yoram Burak
Journal:  Elife       Date:  2020-08-11       Impact factor: 8.140

8.  The Role of Idiothetic Signals, Landmarks, and Conjunctive Representations in the Development of Place and Head-Direction Cells: A Self-Organizing Neural Network Model.

Authors:  Toby St Clere Smithe; Simon M Stringer
Journal:  Cereb Cortex Commun       Date:  2021-08-27

9.  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

10.  Parsing Hippocampal Theta Oscillations by Nested Spectral Components during Spatial Exploration and Memory-Guided Behavior.

Authors:  Vítor Lopes-Dos-Santos; Gido M van de Ven; Alexander Morley; Stéphanie Trouche; Natalia Campo-Urriza; David Dupret
Journal:  Neuron       Date:  2018-10-18       Impact factor: 17.173

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