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Long-term memory

Last updated on Thursday, May 16, 2024.

 

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Long-term memory is a type of memory storage that holds information for an extended period, ranging from days to years. It is categorized into explicit (declarative) and implicit (non-declarative) memories and is believed to have an unlimited capacity for retaining information. This form of memory is essential for encoding, storing, and retrieving past experiences, knowledge, and skills, contributing to our understanding of cognition and intelligence.

The Concept of Long-Term Memory in Cognitive Science

Long-term memory is a fundamental concept in cognitive science, artificial intelligence, and cognitive computing sciences. It refers to the storage of a vast amount of information that is retained over extended periods. Understanding how long-term memory works is crucial in unraveling the complexities of human cognition and developing sophisticated artificial intelligence systems.

The Different Types of Long-Term Memory

Long-term memory is usually divided into two main types: declarative (explicit) memory and non-declarative (implicit) memory. Declarative memory is further divided into semantic memory, which involves general knowledge, and episodic memory, which pertains to personal experiences. On the other hand, non-declarative memory consists of procedural memory, which refers to skills and habits, and priming, which involves the influence of previous experiences on current behavior.

The Mechanisms of Long-Term Memory

Long-term memory formation is a complex process that includes encoding, consolidation, storage, and retrieval. Encoding involves the initial processing of information, consolidation is the stabilization and organization of memories, storage is the retention of memories over time, and retrieval is the accessing of stored information when needed.

Research in cognitive science and artificial intelligence continuously explores the mechanisms and structures underlying long-term memory to enhance understanding and replicate these processes in technological systems.

 

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