Learning and Memory: Computational Models

作者: PB Sederberg , KA Norman , GF Koob , M Le Moal , RF Thompson

DOI: 10.1016/B978-0-08-045396-5.00140-8

关键词: Encoding (memory)Semantic memoryEpisodic memorySpatial memoryCognitive scienceExplicit memoryPsychologyReconstructive memoryChildhood memoryVisual short-term memory

摘要: The goal of learning and memory research is to understand how we store retrieve information based on our experiences. Computational models provide formal implementations theories that attempt predict both behavior neural data. This article describes computational declarative memory, including episodic (memory for specific events) semantic meanings), with a particular focus the role context in supporting types memory.

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