Literature DB >> 34861597

Dynamical self-organization and efficient representation of space by grid cells.

Ronald W DiTullio1, Vijay Balasubramanian2.   

Abstract

To plan trajectories and navigate, animals must maintain a mental representation of the environment and their own position within it. This "cognitive map" is thought to be supported in part by the entorhinal cortex, where grid cells are active when an animal occupies the vertices of a scaling hierarchy of periodic lattices of locations in an enclosure. Here, we review computational developments which suggest that the grid cell network is: (a) efficient, providing required spatial resolution with a minimum number of neurons, (b) self-organizing, dynamically coordinating the structure and scale of the responses, and (c) adaptive, re-organizing in response to changes in landmarks and the structure of the boundaries of spaces. We consider these ideas in light of recent discoveries of similar structures in the mental representation of abstract spaces of shapes and smells, and in other brain areas, and highlight promising directions for future research.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

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Year:  2021        PMID: 34861597      PMCID: PMC8688296          DOI: 10.1016/j.conb.2021.11.007

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  84 in total

1.  Theta-paced flickering between place-cell maps in the hippocampus.

Authors:  Karel Jezek; Espen J Henriksen; Alessandro Treves; Edvard I Moser; May-Britt Moser
Journal:  Nature       Date:  2011-09-28       Impact factor: 49.962

2.  Adaptation of olfactory receptor abundances for efficient coding.

Authors:  Tiberiu Teşileanu; Simona Cocco; Rémi Monasson; Vijay Balasubramanian
Journal:  Elife       Date:  2019-02-26       Impact factor: 8.140

3.  Fragmentation of grid cell maps in a multicompartment environment.

Authors:  Dori Derdikman; Jonathan R Whitlock; Albert Tsao; Marianne Fyhn; Torkel Hafting; May-Britt Moser; Edvard I Moser
Journal:  Nat Neurosci       Date:  2009-09-13       Impact factor: 24.884

4.  Partial coherence and frustration in self-organizing spherical grids.

Authors:  Federico Stella; Eugenio Urdapilleta; Yifan Luo; Alessandro Treves
Journal:  Hippocampus       Date:  2019-07-24       Impact factor: 3.899

5.  The entorhinal grid map is discretized.

Authors:  Hanne Stensola; Tor Stensola; Trygve Solstad; Kristian Frøland; May-Britt Moser; Edvard I Moser
Journal:  Nature       Date:  2012-12-06       Impact factor: 49.962

6.  Grid cells require excitatory drive from the hippocampus.

Authors:  Tora Bonnevie; Benjamin Dunn; Marianne Fyhn; Torkel Hafting; Dori Derdikman; John L Kubie; Yasser Roudi; Edvard I Moser; May-Britt Moser
Journal:  Nat Neurosci       Date:  2013-01-20       Impact factor: 24.884

7.  Entorhinal velocity signals reflect environmental geometry.

Authors:  Robert G K Munn; Caitlin S Mallory; Kiah Hardcastle; Dane M Chetkovich; Lisa M Giocomo
Journal:  Nat Neurosci       Date:  2020-01-13       Impact factor: 24.884

8.  Neuronal Computation Underlying Inferential Reasoning in Humans and Mice.

Authors:  Helen C Barron; Hayley M Reeve; Renée S Koolschijn; Pavel V Perestenko; Anna Shpektor; Hamed Nili; Roman Rothaermel; Natalia Campo-Urriza; Jill X O'Reilly; David M Bannerman; Timothy E J Behrens; David Dupret
Journal:  Cell       Date:  2020-09-17       Impact factor: 41.582

Review 9.  Architecture of the Entorhinal Cortex A Review of Entorhinal Anatomy in Rodents with Some Comparative Notes.

Authors:  Menno P Witter; Thanh P Doan; Bente Jacobsen; Eirik S Nilssen; Shinya Ohara
Journal:  Front Syst Neurosci       Date:  2017-06-28

10.  Navigating with grid and place cells in cluttered environments.

Authors:  Vegard Edvardsen; Andrej Bicanski; Neil Burgess
Journal:  Hippocampus       Date:  2019-08-13       Impact factor: 3.753

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