Our everyday conscious memories are an intricate network of images and associations, constituting a record of our personal experiences that is continuously updated through an active organization of new information within the context of previous experience. Recollection is similarly recreative, and the course of remembering is determined by the nature of our memory organization. This type of memory is called episodic memory, and is therefore a multifaceted process involving a synthesis of episodic representations with our framework of general semantic knowledge that mediates our capacity for recollection. It is therefore typically considered to be too complex to be described by physics-style universal mathematical laws. In this thesis we characterize some of the processes governing episodic recall and point out the basic principles behind them. More specifically, we propose a search process governing recall of unconnected events, mathematically computed recall capacity and tested the resulting relationship in dedicated experiments. Next, we proposed how structured information may be encoded in the human brain and compared model predictions with available experimental data. In both cases experimental data were consistent with proposed mechanisms. Since time is an essential part of episodic memory we also studied the interaction between absolute and ordinal time representation in the brain. We found that ordinal information take precedence in the inference about absolute event times. Overall, the results presented in this thesis opens opportunity that complicated cognitive processes can be described by universal mathematical laws. Zoom link to join: https://weizmann.zoom.us/j/99774936375?pwd=QUhMTG56UkJkd3l1bUJ1ZDhhTTlEUT09 Meeting ID: 997 7493 6375 Password: 402616