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Grid cells without theta oscillations in the entorhinal cortex of bats

Author

Listed:
  • Michael M. Yartsev

    (Weizmann Institute of Science)

  • Menno P. Witter

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

  • Nachum Ulanovsky

    (Weizmann Institute of Science)

Abstract

How fruit bats line up on the grid Animals maintain a neural representation of space through the coordinated activity of grid, place and head-direction cells. Grid cells fire as the animal passes across the vertices of a periodic hexagonal grid depicting space. How these cells create the grid structure is still under debate, although recent work strongly proposes a model involving an oscillatory interference-driven transformation of temporal oscillations into the spatial grid. Yartsev et al. refute this model by characterizing a proper network of grid cells in an animal model, the Egyptian fruit bat, which naturally lacks oscillations required for the oscillatory interference model to produce grid structure. Besides directly characterizing grid cells in a non-rodent species, this study also argues against a major computational model of grid-cell production.

Suggested Citation

  • Michael M. Yartsev & Menno P. Witter & Nachum Ulanovsky, 2011. "Grid cells without theta oscillations in the entorhinal cortex of bats," Nature, Nature, vol. 479(7371), pages 103-107, November.
    • Handle: RePEc:nat:nature:v:479:y:2011:i:7371:d:10.1038_nature10583
    DOI: 10.1038/nature10583
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    Cited by:

    1. Soraya L. S. Dunn & Stephen M. Town & Jennifer K. Bizley & Daniel Bendor, 2022. "Behaviourally modulated hippocampal theta oscillations in the ferret persist during both locomotion and immobility," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    2. 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.
    3. 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.
    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. Kensuke Arai & Robert E Kass, 2017. "Inferring oscillatory modulation in neural spike trains," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-31, October.

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