The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Representation of Non-Spatial and Spatial Information in the Lateral Entorhinal Cortex
Open accessAbstract
Some theories of memory propose that the hippocampus integrates the individual items and events of experience within a contextual or spatial framework. The hippocampus receives cortical input from two major pathways: the medial entorhinal cortex (MEC) and the lateral entorhinal cortex (LEC). During exploration in an open field, the firing fields of MEC grid cells form a periodically repeating, triangular array. In contrast, LEC neurons show little spatial selectivity, and it has been proposed that the LEC may provide non-spatial input to the hippocampus. Here, we recorded MEC and LEC neurons while rats explored an open field that contained discrete objects. LEC cells fired selectively at locations relative to the objects, whereas MEC cells were weakly influenced by the objects. These results provide the first direct demonstration of a double dissociation between LEC and MEC inputs to the hippocampus under conditions of exploration typically used to study hippocampal place cells.
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Cites
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Cited by
Whittington, J. C. R., Muller, T. H., Mark, S., Chen, G., Barry, C., Burgess, N., & Behrens, T. E. J. (2020) · Cell · doi:10.1016/j.cell.2020.10.024 · Cited by 660
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Dentate gyrus circuits for encoding, retrieval and discrimination of episodic memories
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Integrating time from experience in the lateral entorhinal cortex
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Metadata
- Authors
- Deshmukh, S. S., & Knierim, J. J.
- Venue
- Frontiers in Behavioral Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 5
- Pages
- 69-69
- ISSN
- 1662-5153 (ISSN-L)
- OpenAlex
- W2023768217
- Cited by
- 453
- References
- 15
- FWCI
- 10.55
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
