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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.
Bush D, Burgess N (2020) Advantages and detection of phase coding in the absence of rhythmicity.
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Bush, Daniel [drdanielbush @ gmail.com];
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