4.5 Article

Temporally structured replay of neural activity in a model of entorhinal cortex, hippocampus and postsubiculum

Journal

EUROPEAN JOURNAL OF NEUROSCIENCE
Volume 28, Issue 7, Pages 1301-1315

Publisher

WILEY
DOI: 10.1111/j.1460-9568.2008.06437.x

Keywords

episodic memory; grid cells; head direction cells; memory retrieval; postsubiculum; rat

Categories

Funding

  1. Silvio O. Conte Center [NIMH MH71702, NIMH R01 MH60013, NIMH R01 MH61492, NIMH MH60450, NSF SLC SBE 0354378, NIDA R01 DA16454]

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The spiking activity of hippocampal neurons during rapid eye movement (REM) sleep exhibits temporally structured replay of spiking occurring during previously experienced trajectories. Here, temporally structured replay of place cell activity during REM sleep is modeled in a large-scale network simulation of grid cells, place cells and head direction cells. During simulated waking behavior, the movement of the simulated rat drives activity of a population of head direction cells that updates the activity of a population of entorhinal grid cells. The population of grid cells drives the activity of place cells coding individual locations. Associations between location and movement direction are encoded by modification of excitatory synaptic connections from place cells to speed modulated head direction cells. During simulated REM sleep, the population of place cells coding an experienced location activates the head direction cells coding the associated movement direction. Spiking of head direction cells then causes frequency shifts within the population of entorhinal grid cells to update a phase representation of location. Spiking grid cells then activate new place cells that drive new head direction activity. In contrast to models that perform temporally compressed sequence retrieval similar to sharp wave activity, this model can simulate data on temporally structured replay of hippocampal place cell activity during REM sleep at time scales similar to those observed during waking. These mechanisms could be important for episodic memory of trajectories.

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