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

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.

Model Type: Realistic Network

Region(s) or Organism(s): Entorhinal cortex; Hippocampus

Model Concept(s): Grid cell; Place cell/field; Theta oscillations; Spatial Navigation; Temporal Coding

Simulation Environment: MATLAB

Implementer(s): Bush, Daniel [drdanielbush @]


Bush D, Burgess N. (2020). Advantages and detection of phase coding in the absence of rhythmicity. Hippocampus. 30 [PubMed]

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