The medial temporal lobe (MTL) has been studied extensively at all levels of analysis, yet its function remains unclear. Theory regarding the cognitive function of the MTL has centered along 3 themes. Different authors have emphasized the role of the MTL in episodic recall, spatial navigation, or relational memory. Starting with the temporal context model (M. W. Howard and M. J. , a distributed memory model that has been applied to benchmark data from episodic recall tasks, the authors propose that the entorhinal cortex supports a gradually changing representation of temporal context and the hippocampus proper enables retrieval of these contextual states. Simulation studies show this hypothesis explains the firing of place cells in the entorhinal cortex and the behavioral effects of hippocampal lesion in relational memory tasks. These results constitute a first step towards a unified computational theory of MTL function that integrates neurophysiological, neuropsychological and cognitive findings.The medial temporal lobe (MTL) is a region that includes the hippocampus proper, the subicular complex and parahippocampal cortical regions, including entorhinal, perirhinal, and parahippocampal/postrhinal cortices. A great deal of data from neuropsychology (e.g. Eichenbaum & Cohen, 2001;Scoville & Milner, 1957;Squire, 1992) and functional imaging (e.g. Fernandez, Effern, Grunwald, et al., 1999;Stern, Corkin, Gonzalez, et al., 1996;Wagner et al., 1998) has converged on the idea that the MTL is important in learning and memory. In order to bridge the gap between cognition and cellular-level physiology, we need a mechanistic, mesoscopic description of MTL computational function. We already have several successful verbally-formulated theories of the cognitive function of the MTL. These are described in turn in the following subsections. This paper will attempt to draw these multiple verbal theories together into a single computational framework that is consistent with known neurophysiological and neuroanatomical data.