To simulate the firing pattern of biological grid cells, this paper presents an improved computationalmodel of grid cells based on column structure. In this model, the displacement along different directions isprocessed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Comparedwith the original model, the improved parts include that: the base of modulus operation is changed, and thefiring rate in firing field is encoded by Gaussian-like function. Simulation validates that the firing patterngenerated by the improved computational model is more consistent with biological characteristic than originalmodel. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computationalmodel can also generate the regularly hexagonal firing pattern when the real-time positioning results aremodified.
To simulate the firing pattern of biological grid cells, this paper presents an improved computational model of grid cells based on column structure. In this model, the displacement along different directions is processed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Compared with the original model, the improved parts include that: the base of modulus operation is changed, and the firing rate in firing field is encoded by Gaussian?like function. Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computational model can also generate the regularly hexagonal firing pattern when the real?time positioning results are modified.