can flexibly adjust their behavior based on past experience of desiring a particular food. similarities and differences between humans and other animals are currently much debated. autobiographical memory an autobiographical memory is a personal representation of general or specific events and personal facts. autobiographical memory also refers to memory of a person's history. an individual does not remember exactly everything that has happened in one's past. memory is constructive, where previous experience affects how we remember events and what we end up recalling from memory. autobiographical memory is constructive and reconstructed as an evolving process of history. a person's autobiographical memory is fairly reliable, although the reliability of autobiographical memories is questionable because of memory distortions. autobiographical memories can differ for special periods of life. people recall few personal events from the first years of their lives. the loss of these first events is called childhood or infantile amnesia. people tend to recall many personal events from adolescence and early adulthood. this effect is called the reminiscence bump. additionally, people recall many personal events from their previous few years. for adolescents and young adults the reminiscence bump and the recent events can coincide. it is known that autobiographical memories initially are stored as episodic memories, but it is currently unknown if autobiographical memories are the same as episodic memories or if the autobiographical memories become converted to semantic memories with time. types specific events when you first set foot in the ocean. general events what it feels like stepping into the ocean in general. this is a memory of what a personal event is generally like. it might be based on the memories of having stepped in the ocean, many times during the years. flashbulb memories flashbulb memories are critical autobiographical memories about a major event. neural network models episodic memories can be stored in autoassociative neural networks (e.g., a hopfield network) if the stored representation includes information on the spatiotemporal context in which an item was studied. smaller memories such as words or references said by someone are labeled as inactive or active neurons in the entorhinal cortex. neural networks help us understand how the brain sends and receives different messages to the body, and how they are connected. these networks are a group of neurons or structures that are connected together. these structures work harmoniously to produce different cognitions within the brain. one of the largest proposals for this ideology is that of diffusion tensor imaging. this technique traces the differing pathways of nerve fibres that further create communication throughout differing structures. these networks can be thought of as neural maps that can expand or contract according to the information being processed at that time. neural network models can undergo learning patterns to use episodic memories to predict certain moments. neural network models help the episodic memories by capturing the naturalistic state you are currently in such as scenery, rooms, time, smell, or even your current feeling.nestor, paul g.; kubicki, marek; gurrera, ronald j.; niznikiewicz, margaret; frumin, melissa; mccarley, robert w.; shenton, martha e. (october 2004). "neuropsychological correlates of diffusion tensor imaging in schizophrenia". neuropsychology. 18 (4): 629–637. doi:10.1037/0894-4105.18.4.629. issn 1931-1559. pmc 2790923. pmid 15506830.</ref>