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Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons

期刊

HIPPOCAMPUS
卷 17, 期 12, 页码 1252-1271

出版社

WILEY
DOI: 10.1002/hipo.20374

关键词

entorhinal cortex; stellate cells; field potential; head direction cells; memory encoding

资金

  1. NIDA NIH HHS [DA16454, R01 DA016454, R01 DA016454-05] Funding Source: Medline
  2. NIMH NIH HHS [R01 MH061492-05, P50 MH071702-02, P50 MH060450, P50 MH071702, R01 MH061492, R01 MH060013, R01 MH060013-08, MH60013, R01 MH060013-09, MH71702, P50 MH060450-069002, MH60450, P50 MH071702-020004] Funding Source: Medline
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [P50MH060450, R01MH060013, P50MH071702, R01MH061492] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE ON DRUG ABUSE [R01DA016454] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Intracellular recording and computational modelling suggest that interactions of subthreshold membrane potential oscillation frequency in different dendritic branches of entorhinal cortex stellate cells could underlie the functional coding of continuous dimensions of space and time. Among other things, these interactions could underlie properties of grid cell field spacing. The relationship between experimental data on membrane potential oscillation frequency V) and grid cell field spacing (G) indicates a constant scaling factor H = fG. This constant scaling factor between temporal oscillation frequency and spatial periodicity provides a starting constraint that is used to derive the model of Burgess et al. (Hippocampus, 2007). This model provides a consistent quantitative link between single cell physiological properties and properties of spiking units in awake behaving animals. Further properties and predictions of this model about single cell and network physiological properties are analyzed. In particular, the model makes quantitative predictions about the change in membrane potential, single cell oscillation frequency, and network oscillation frequency associated with speed of movement, about the independence of single cell properties from network theta rhythm oscillations, and about the effect of variations in initial oscillatory phase on the pattern of grid cell firing fields. These same mechanisms of subthreshold oscillations may play a more general role in memory function, by providing a method for learning arbitrary time intervals in memory sequences. (c) 2007 Wiley-Liss, Inc.

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