Decoding movement trajectory from simulated grid cell population activity (Bush & Burgess 2019)

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Matlab code to simulate a population of grid cells that exhibit both a rate and phase code for location in 1D or 2D environments, and are modulated by a human hippocampal LFP signal with highly variable frequency; then subsequently decode location, running speed, movement direction and an arbitrary fourth variable from population firing rates and phases in each oscillatory cycle.
1 . Bush D, Burgess N (2020) Advantages and detection of phase coding in the absence of rhythmicity. Hippocampus [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Entorhinal cortex; Hippocampus;
Cell Type(s):
Gap Junctions:
Simulation Environment: MATLAB;
Model Concept(s): Grid cell; Place cell/field; Theta oscillations; Spatial Navigation; Temporal Coding;
Implementer(s): Bush, Daniel [drdanielbush @];
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