Cited by 368Memory and Neural MechanismsSpatial Cognition and NavigationNeurogenesis and neuroplasticity mechanisms

Object-vector coding in the medial entorhinal cortex

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Høydal, Øyvind Arne, Skytøen, Emilie Ranheim, Andersson, Sebastian Ola, Moser, May-Britt, Moser, Edvard I.·2019·Nature

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Abstract

The hippocampus and the medial entorhinal cortex are part of a brain system that maps self-location during navigation in the proximal environment 1,2. In this system, correlations between neural firing and an animal's position or orientation are so evident that cell types have been given simple descriptive names, such as place cells 3, grid cells 4, border cells 5,6 and head-direction cells 7. While the number of identified functional cell types is growing at a steady rate, insights remain limited by an almost-exclusive reliance on recordings from rodents foraging in empty enclosures that are different from the richly populated, geometrically irregular environments of the natural world. In environments that contain discrete objects, animals are known to store information about distance and direction to those objects and to use this vector information to guide navigation 8-10. Theoretical studies have proposed that such vector operations are supported by neurons that use distance and direction from discrete objects 11,12 or boundaries 13,14 to determine the animal's location, but-although some cells with vector-coding properties may be present in the hippocampus 15 and subiculum 16,17-it remains to be determined whether and how vectorial operations are implemented in the wider neural representation of space. Here we show that a large fraction of medial entorhinal cortex neurons fire specifically when mice are at given distances and directions from spatially confined objects. These 'object-vector cells' are tuned equally to a spectrum of discrete objects, irrespective of their location in the test arena, as well as to a broad range of dimensions and shapes, from point-like objects to extended surfaces. Our findings point to vector coding as a predominant form of position coding in the medial entorhinal cortex.

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Authors
Høydal, Ø. A., Skytøen, E. R., Andersson, S. O., Moser, M.-B., & Moser, E. I.
Affiliations
Norwegian University of Science and Technology (NO)
Corresponding author
  • Høydal, Øyvind Arne
  • Moser, Edvard I.
Venue
Nature
Published
2019-04
Volume
568
Issue
7752
Pages
400-404
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2952062681
Cited by
366
References
60
Citations by year
2026: 31 · 2025: 73 · 2024: 62 · 2023: 62 · 2022: 34 · 2021: 36 · 2020: 35 · 2019: 22 · 2018: 11
FWCI
18.44
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Kavli Foundation
  • Norges Forskningsråd (223262, #197467)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
Keywords
medial entorhinal cortex, vector coding, spatial navigation, place cells, grid cells, head direction cells, border cells, mouse navigation
MeSH terms
Animals, Cues, Hippocampus, Male, Mice, Inbred C57BL, Models, Neurological, Neurons, Space Perception, Entorhinal Cortex, Mice, Spatial Learning

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