Cited by 212Memory and Neural MechanismsSpatial Cognition and NavigationNeural dynamics and brain function

Grid cells and theta as oscillatory interference: Electrophysiological data from freely moving rats

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Jeewajee, A., Barry, C., O'Keefe, J., Burgess, N.·2008·Hippocampus

Abstract

The oscillatory interference model (Burgess et al. (2007) Hippocampus 17:801–812) explains the generation of spatially stable, regular firing patterns by medial entorhinal cortical (mEC) grid cells in terms of the interference between velocity‐controlled oscillators (VCOs) with different preferred directions. This model predicts specific relationships between the intrinsic firing frequency and spatial scale of grid cell firing, the EEG theta frequency, and running speed (Burgess,2008). Here, we use spectral analyses of EEG and of spike autocorrelograms to estimate the intrinsic firing frequency of grid cells, and the concurrent theta frequency, in mEC Layer II in freely moving rats. The intrinsic firing frequency of grid cells increased with running speed and decreased with grid scale, according to the quantitative prediction of the model. Similarly, theta frequency increased with running speed, which was also predicted by the model. An alternative Moiré interference model (Blair et al.,2007) predicts a direction‐dependent variation in intrinsic firing frequency, which was not found. Our results suggest that interference between VCOs generates the spatial firing patterns of entorhinal grid cells according to the oscillatory interference model. They also provide specific constraints on this model of grid cell firing and have more general implications for viewing neuronal processing in terms of interfering oscillatory processes. © 2008 Wiley‐Liss, Inc.

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  • The dependence of directional modulation on running speed is consistent with the effects of speed on the firing rate and apparent spatial organisation of grid cells.

    “The dependence of directional modulation on running speed is consistent with the effects of speed on the firing rate6,10 and apparent spatial organisation (Fig. 1d) of grid cells”

    From Evidence for grid cells in a human memory network (2010) · cites this paper as [10]

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Authors
Jeewajee, A., Barry, C., O'Keefe, J., & Burgess, N.
Affiliations
  • University College London (GB)
  • UCL Queen Square Institute of Neurology (GB)
Corresponding author
Burgess, N.
Venue
Hippocampus
Publisher
Wiley
Published
2008-11-19
Volume
18
Issue
12
Pages
1175-1185
ISSN
  • 1050-9631 (ISSN-L)
  • 1098-1063
OpenAlex
W2006952639
Cited by
212
References
38
Citations by year
2025: 12 · 2024: 8 · 2023: 9 · 2022: 6 · 2021: 8 · 2020: 16 · 2019: 28 · 2018: 10 · 2017: 10 · 2016: 10 · 2015: 13 · 2014: 13 · 2013: 19 · 2012: 16
FWCI
5.78
Type
journal article
Language
en
Open access
Locations
  • Hippocampus (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Wellcome Trust
  • Medical Research Council
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
grid cells, theta oscillations, medial entorhinal cortex, grid scale, running speed, spatial firing patterns, freely moving rats, EEG spectral analysis
MeSH terms
Action Potentials, Animals, Biological Clocks, Computer Simulation, Electroencephalography, Locomotion, Male, Membrane Potentials, Nerve Net, Synaptic Transmission, Neurons, Orientation, Running, Signal Processing, Computer-Assisted, Theta Rhythm, Entorhinal Cortex, Rats, Long-Evans, Rats

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