"Hippocampal place fields, the local regions of activity recorded from place cells in exploring rodents, can undergo large changes in relative location during remapping. This process would appear to require some form of modulated global input. Grid-cell responses recorded from layer II of medial entorhinal cortex in rats have been observed to realign concurrently with hippocampal remapping, making them a candidate input source. However, this realignment occurs coherently across colocalized ensembles of grid cells (Fyhn et al., 2007). The hypothesized entorhinal contribution to remapping depends on whether this coherence extends to all grid cells, which is currently unknown. We study whether dividing grid cells into small numbers of independently realigning modules can both account for this localized coherence and allow for hippocampal remapping. ..."
Model Type: Realistic Network
Region(s) or Organism(s): Hippocampus; Dentate gyrus; Entorhinal cortex
Cell Type(s): Entorhinal cortex stellate cell
Model Concept(s): Pattern Recognition; Spatio-temporal Activity Patterns; Simplified Models; Rate-coding model neurons; Place cell/field; Connectivity matrix; Grid cell
Simulation Environment: Python
References:
Monaco JD, Abbott LF. (2011). Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]