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Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3

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  • Inah Lee

    (Boston University)

  • D. Yoganarasimha

    (University of Texas Medical School at Houston)

  • Geeta Rao

    (University of Texas Medical School at Houston)

  • James J. Knierim

    (Boston University)

Abstract

The hippocampus, a critical brain structure for navigation, context-dependent learning and episodic memory1,2,3, is composed of anatomically heterogeneous subregions. These regions differ in their anatomical inputs as well as in their internal circuitry4. A major feature of the CA3 region is its recurrent collateral circuitry, by which the CA3 pyramidal cells make excitatory synaptic contacts on each other4,5. In contrast, pyramidal cells in the CA1 region are not extensively interconnected4. Although these differences have inspired numerous theoretical models of differential processing capacities of these two regions6,7,8,9,10,11,12,13, there have been few reports of robust differences in the firing properties of CA1 and CA3 neurons in behaving animals. The most extensively studied of these properties is the spatially selective firing of hippocampal ‘place cells’1,14. Here we report that in a dynamically changing environment, in which familiar landmarks on the behavioural track and along the wall are rotated relative to each other15,16, the population representation of the environment is more coherent between the original and cue-altered environments in CA3 than in CA1. These results demonstrate a functional heterogeneity between the place cells of CA3 and CA1 at the level of neural population representations.

Suggested Citation

  • Inah Lee & D. Yoganarasimha & Geeta Rao & James J. Knierim, 2004. "Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3," Nature, Nature, vol. 430(6998), pages 456-459, July.
  • Handle: RePEc:nat:nature:v:430:y:2004:i:6998:d:10.1038_nature02739
    DOI: 10.1038/nature02739
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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. Mamiko Arai & Vicky Brandt & Yuri Dabaghian, 2014. "The Effects of Theta Precession on Spatial Learning and Simplicial Complex Dynamics in a Topological Model of the Hippocampal Spatial Map," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-14, June.
    3. Li Zheng & Zhiyao Gao & Andrew S. McAvan & Eve A. Isham & Arne D. Ekstrom, 2021. "Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex," Nature Communications, Nature, vol. 12(1), pages 1-15, December.

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