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Modelling effects on grid cells of sensory input during self‐motion
How environment and self‐motion combine in neural representations of space

Optimal cue combination and landmark‐stability learning in the head direction system
Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions

Environmental boundaries as a mechanism for correcting and anchoring spatial maps
Unlocking neural complexity with a robotic key

Neural mechanisms for spatial computation
Framing the grid: effect of boundaries on grid cells and navigation

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