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Cited by 596

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Independent rate and temporal coding in hippocampal pyramidal cells

Open access
Huxter, John, Burgess, Neil, O'Keefe, John·2003·Nature

Abstract

In the brain, hippocampal pyramidal cells use temporal as well as rate coding to signal spatial aspects of the animal's environment or behaviour. The temporal code takes the form of a phase relationship to the concurrent cycle of the hippocampal electroencephalogram theta rhythm. These two codes could each represent a different variable. However, this requires the rate and phase to vary independently, in contrast to recent suggestions that they are tightly coupled, both reflecting the amplitude of the cell's input. Here we show that the time of firing and firing rate are dissociable, and can represent two independent variables: respectively the animal's location within the place field, and its speed of movement through the field. Independent encoding of location together with actions and stimuli occurring there may help to explain the dual roles of the hippocampus in spatial and episodic memory, or may indicate a more general role of the hippocampus in relational/declarative memory.

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Crossref · 10.1038/nature02058

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Metadata

Authors
Huxter, J., Burgess, N., & O'Keefe, J.
Venue
Nature
Published
2003-10
Volume
425
Issue
6960
Pages
828-832
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2088382964
Cited by
596
References
8
FWCI
11.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Independent rate and temporal coding in hippocampal pyramidal cells. https://app.cochat.ai/papers/10.1038/nature02058
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Huxter, J., Burgess, N., & O'Keefe, J. (2003). Independent rate and temporal coding in hippocampal pyramidal cells. Nature. https://doi.org/10.1038/nature02058

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.