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Hippocampus-independent phase precession in entorhinal grid cells

Author

Listed:
  • Torkel Hafting

    (Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology)

  • Marianne Fyhn

    (Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology)

  • Tora Bonnevie

    (Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology)

  • May-Britt Moser

    (Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology)

  • Edvard I. Moser

    (Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology)

Abstract

Spatial awareness: Phase precession in grid cells In the brain, both rate and temporal codes are critical for information storage. Theta phase precession is a change in action potential timing in the hippocampus where place cells fire at progressively earlier phases of the theta rhythm as the animal moves across the firing field of the neuron. Hafting et al. explore the circuitry of theta phase precession and show that phase precession is expressed independently of the hippocampus in spatially modulated grid cells in parts of the entorhinal cortex.

Suggested Citation

  • Torkel Hafting & Marianne Fyhn & Tora Bonnevie & May-Britt Moser & Edvard I. Moser, 2008. "Hippocampus-independent phase precession in entorhinal grid cells," Nature, Nature, vol. 453(7199), pages 1248-1252, June.
    • Handle: RePEc:nat:nature:v:453:y:2008:i:7199:d:10.1038_nature06957
    DOI: 10.1038/nature06957
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    Citations

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    Cited by:

    1. Sandra Gattas & Myra Sarai Larson & Lilit Mnatsakanyan & Indranil Sen-Gupta & Sumeet Vadera & A. Lee Swindlehurst & Paul E. Rapp & Jack J. Lin & Michael A. Yassa, 2023. "Theta mediated dynamics of human hippocampal-neocortical learning systems in memory formation and retrieval," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Miles Wischnewski & Harry Tran & Zhihe Zhao & Sina Shirinpour & Zachary J. Haigh & Jonna Rotteveel & Nipun D. Perera & Ivan Alekseichuk & Jan Zimmermann & Alexander Opitz, 2024. "Induced neural phase precession through exogenous electric fields," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. 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.
    4. Tal Sharf & Tjitse Molen & Stella M. K. Glasauer & Elmer Guzman & Alessio P. Buccino & Gabriel Luna & Zhuowei Cheng & Morgane Audouard & Kamalini G. Ranasinghe & Kiwamu Kudo & Srikantan S. Nagarajan &, 2022. "Functional neuronal circuitry and oscillatory dynamics in human brain organoids," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    5. Davide Spalla & Alessandro Treves & Charlotte N. Boccara, 2022. "Angular and linear speed cells in the parahippocampal circuits," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Daniel Müller-Komorowska & Baris Kuru & Heinz Beck & Oliver Braganza, 2023. "Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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