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Hippocampal remapping and grid realignment in entorhinal cortex

Author

Listed:
  • Marianne Fyhn

    (Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway)

  • Torkel Hafting

    (Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway)

  • Alessandro Treves

    (Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway
    Cognitive Neuroscience Sector, SISSA International School for Advanced Studies, I-34014 Trieste, Italy)

  • May-Britt Moser

    (Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway)

  • Edvard I. Moser

    (Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway)

Abstract

A sense of place The ability to find one's way depends on the brain's ability to integrate information about location, direction and distance. Recent advances have pointed to 'grid cells' in the brain's entorhinal cortex as one component of the mechanism for calculating position, but the neuronal network computations responsible for spatial navigation and spatial memory formation are not understood. Experiments in rats tasked to track down their food in changing environments now reveal two distinct codes for memory representation in the hippocampus. The formation of statistically independent representations in hippocampal place cells ('remapping') is invariably preceded by a coherent migration of the corresponding ensemble maps in the entorhinal cortex. This allows an animal's position to be represented and updated by the same translation mechanism as it encounters different environments.

Suggested Citation

  • Marianne Fyhn & Torkel Hafting & Alessandro Treves & May-Britt Moser & Edvard I. Moser, 2007. "Hippocampal remapping and grid realignment in entorhinal cortex," Nature, Nature, vol. 446(7132), pages 190-194, March.
    • Handle: RePEc:nat:nature:v:446:y:2007:i:7132:d:10.1038_nature05601
    DOI: 10.1038/nature05601
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    Citations

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    Cited by:

    1. Torsten Neher & Amir Hossein Azizi & Sen Cheng, 2017. "From grid cells to place cells with realistic field sizes," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-27, July.
    2. Isabella C. Wagner & Luise P. Graichen & Boryana Todorova & Andre Lüttig & David B. Omer & Matthias Stangl & Claus Lamm, 2023. "Entorhinal grid-like codes and time-locked network dynamics track others navigating through space," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Taylor J. Malone & Nai-Wen Tien & Yan Ma & Lian Cui & Shangru Lyu & Garret Wang & Duc Nguyen & Kai Zhang & Maxym V. Myroshnychenko & Jean Tyan & Joshua A. Gordon & David A. Kupferschmidt & Yi Gu, 2024. "A consistent map in the medial entorhinal cortex supports spatial memory," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    4. Benjamin Dunn & Maria Mørreaunet & Yasser Roudi, 2015. "Correlations and Functional Connections in a Population of Grid Cells," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-21, February.
    5. Kyerl Park & Yoonsoo Yeo & Kisung Shin & Jeehyun Kwag, 2024. "Egocentric neural representation of geometric vertex in the retrosplenial cortex," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Francis Kei Masuda & Emily A. Aery Jones & Yanjun Sun & Lisa M. Giocomo, 2023. "Ketamine evoked disruption of entorhinal and hippocampal spatial maps," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    7. Tiziano D’Albis & Richard Kempter, 2017. "A single-cell spiking model for the origin of grid-cell patterns," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-41, October.
    8. Lajos Vágó & Balázs B Ujfalussy, 2018. "Robust and efficient coding with grid cells," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-28, January.
    9. Trygve Solstad & Hosam N Yousif & Terrence J Sejnowski, 2014. "Place Cell Rate Remapping by CA3 Recurrent Collaterals," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-10, June.
    10. Axel Kammerer & Christian Leibold, 2014. "Hippocampal Remapping Is Constrained by Sparseness rather than Capacity," PLOS Computational Biology, Public Library of Science, vol. 10(12), pages 1-12, December.

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