English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Research on network mechanisms and coding properties of grid cells assumethat the firing rate of a grid cell in each of its fields is the same.Furthermore, proposed network models predict spatial regularities in the firingof inhibitory interneurons that are inconsistent with experimental data. Inthis paper, by analyzing the response of grid cells recorded from rats duringfree navigation, we first show that there are strong variations in the meanfiring rate of the fields of individual grid cells and thus show that the datais inconsistent with the theoretical models that predict similar peakmagnitudes. We then build a two population excitatory-inhibitory network modelin which sparse spatially selective input to the excitatory cells, presumed toarise from e.g. salient external stimuli, hippocampus or a combination of both,leads to the variability in the firing field amplitudes of grid cells. We showthat, when combined with appropriate connectivity between the excitatory andinhibitory neurons, the variability in the firing field amplitudes of gridcells results in inhibitory neurons that do not exhibit regular spatial firing,consistent with experimental data. Finally, we show that even if the spatialpositions of the fields are maintained, variations in the firing rates of thefields of grid cells are enough to cause remapping of hippocampal cells.

Grid cells show field-to-field variability and this explains the aperiodic response of inhibitory interneurons