Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)

 Download zip file 
Help downloading and running models
Accession:138951
"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. ..."
Reference:
1 . Monaco JD, Abbott LF (2011) Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping J Neurosci 31(25):9414-9425
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus; Dentate gyrus; Entorhinal cortex;
Cell Type(s): Entorhinal cortex stellate cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python;
Model Concept(s): Pattern Recognition; Spatio-temporal Activity Patterns; Simplified Models; Rate-coding model neurons; Place cell/field; Connectivity matrix; Grid cell;
Implementer(s):