The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
An oscillatory interference model of grid cell firing
Open accessAbstract
We expand upon our proposal that the oscillatory interference mechanism proposed for the phase precession effect in place cells underlies the grid‐like firing pattern of dorsomedial entorhinal grid cells (O'Keefe and Burgess ( 2005 ) Hippocampus 15:853–866). The original one‐dimensional interference model is generalized to an appropriate two‐dimensional mechanism. Specifically, dendritic subunits of layer II medial entorhinal stellate cells provide multiple linear interference patterns along different directions, with their product determining the firing of the cell. Connection of appropriate speed‐ and direction‐ dependent inputs onto dendritic subunits could result from an unsupervised learning rule which maximizes postsynaptic firing (e.g. competitive learning). These inputs cause the intrinsic oscillation of subunit membrane potential to increase above theta frequency by an amount proportional to the animal's speed of running in the “preferred” direction. The phase difference between this oscillation and a somatic input at theta‐frequency essentially integrates velocity so that the interference of the two oscillations reflects distance traveled in the preferred direction. The overall grid pattern is maintained in environmental location by phase reset of the grid cell by place cells receiving sensory input from the environment, and environmental boundaries in particular. We also outline possible variations on the basic model, including the generation of grid‐like firing via the interaction of multiple cells rather than via multiple dendritic subunits. Predictions of the interference model are given for the frequency composition of EEG power spectra and temporal autocorrelograms of grid cell firing as functions of the speed and direction of running and the novelty of the environment. © 2007 Wiley‐Liss, Inc.
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Cites
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Self-citationThe hippocampus as a cognitive map
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Self-citationPath integration and the neural basis of the 'cognitive map'
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Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289
Active inference: a process theory
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017) · Neural Computation · doi:10.1162/neco_a_00912 · Cited by 1,156
Evidence for grid cells in a human memory network
Doeller, C. F., Barry, C., & Burgess, N. (2010) · Nature · doi:10.1038/nature08704 · Cited by 828
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Metadata
- Authors
- Burgess, N., Barry, C., & O'Keefe, J.
- Venue
- Hippocampus
- Publisher
- Wiley
- Published
- 2007-06-27
- Volume
- 17
- Issue
- 9
- Pages
- 801-812
- ISSN
- 1050-9631 (ISSN-L)
- 1098-1063
- OpenAlex
- W2117443520
- Cited by
- 686
- References
- 65
- FWCI
- 15.93
- Type
- journal article
- Language
- en
- Open access
- green
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