The origins and functional significance of theta phase precession in the hippocampus remain obscure, in part, because of the
difficulty of reproducing hippocampal place cell firing in experimental settings where the biophysical underpinnings can be
examined in detail. The present study concerns a neurobiologically based computational model of the emergence of theta phase
precession in which the responses of a single model CA3 pyramidal cell are examined in the context of stimulation by realistic
afferent spike trains including those of place cells in entorhinal cortex, dentate gyrus, and other CA3 pyramidal cells. Spike-timing
dependent plasticity in the model CA3 pyramidal cell leads to a spatially correlated associational synaptic drive that subsequently
creates a spatially asymmetric expansion of the model cell’s place field. Following an initial training period, theta phase
precession can be seen in the firing patterns of the model CA3 pyramidal cell. Through selective manipulations of the model
it is possible to decompose theta phase precession in CA3 into the separate contributing factors of inheritance from upstream
afferents in the dentate gyrus and entorhinal cortex, the interaction of synaptically controlled increasing afferent drive
with phasic inhibition, and the theta phase difference between dentate gyrus granule cell and CA3 pyramidal cell activity.
In the context of a single CA3 pyramidal cell, the model shows that each of these factors plays a role in theta phase precession
within CA3 and suggests that no one single factor offers a complete explanation of the phenomenon. The model also shows parallels
between theta phase encoding and pattern completion within the CA3 autoassociative network.
Keywords Theta rhythm - Hippocampus - Pyramidal cell - Computer simulation - Learning and memory