title: Grid cells and theta as oscillatory interference: electrophysiological data from freely moving rats.
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.
authors.affiliation: Institute of Cognitive Neuroscience, University College London (UCL), London, United Kingdom.
authors.forename: A
authors.initials: A
authors.lastname: Jeewajee
authors.forename: C
authors.initials: C
authors.lastname: Barry
authors.forename: J
authors.initials: J
authors.lastname: O'Keefe
authors.forename: N
authors.initials: N
authors.lastname: Burgess
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D018728:Entorhinal Cortex / Q000502:physiology*; D008124:Locomotion / Q000502:physiology; D008297:Male; D008564:Membrane Potentials / Q000502:physiology; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009949:Orientation / Q000502:physiology; D051381:Rats; D020318:Rats, Long-Evans; D012420:Running / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D009435:Synaptic Transmission / Q000502:physiology; D013826:Theta Rhythm