The term episodic memory refers to the ability to recall previously experienced events and to recognize things as having been encountered previously. Research on the neural basis of episodic memory has increasingly come to focus on three structures: The hippocampus, Perirhinal cortex and Prefrontal cortex. This chapter reviews the Complementary Learning Systems (CLS) model and how it has been applied to understanding hippocampal and neocortical contributions to episodic memory. In addition to the biologically based models, there is a rich tradition of researchers building more abstract computational models of episodic memory. The chapter describes an abstract modeling framework, the Temporal Context Model (TCM) that has proved to be very useful in understanding how to selectively retrieve memories from a particular temporal context in free recall experiments. Episodic memory modeling has a long tradition of trying to build comprehensive models that can simultaneously account for multiple recall and recognition findings.