Schemas are organized clusters of knowledge about a particular object or event abstracted from previous experience with the object or event.
	For example, college students have schemas for what professors’ offices are like. Brewer and Treyens tested the recall of subjects who had briefly visited a professor’s office. They recalled a desk and chairs, but not the wine bottle or picnic basket. They also inaccurately recalled books.
	Semantic networks consist of nodes representing concepts, joined together by pathways that link related concepts. This explains why thinking of butter makes bread easier to remember.
	Connectionist models are inspired by how neural networks appear to handle information. The human brain appears to depend extensively on parallel distributed processing (PDP), or simultaneous processing of the same information that is spread across networks of neurons. Connectionist or PDP models assume that cognitive processes depend on patterns of activation in highly interconnected computational networks that resemble neural networks. According to this model, specific memories correspond to specific patterns of activation in these networks.