Recurrent network models of area CA3 in the hippocampus capture faithfully many of the properties of place cells. However, they seem ill suited to explaining the substantial experimental data on place cells in environments with particular visualor geometrical similarities. We show that a model in which the activities of CA3 place cells are determined mainly by modifiable recurrent connections (together with global inhibitory feedback) is capable of reproducing the major classes of behavior thatare observed. In visually similar environments, the patterns of place cell activities have the appropriate degree of similarity; after geometric transformations to the environment, the model place fields undergo geometric transformations, and alsoremapping, induced (or uncovered) directionality and disappearance.
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