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  2. Atkinson–Shiffrin memory model - Wikipedia

    en.wikipedia.org/wiki/Atkinson–Shiffrin_memory...

    The Atkinson–Shiffrin model (also known as the multi-store model or modal model) is a model of memory proposed in 1968 by Richard Atkinson and Richard Shiffrin. [1] The model asserts that human memory has three separate components: a sensory register, where sensory information enters memory,

  3. Long-term memory - Wikipedia

    en.wikipedia.org/wiki/Long-term_memory

    Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast to sensory memory , the initial stage, and short-term or working memory , the second stage, which persists for about 18 to 30 seconds.

  4. Memory consolidation - Wikipedia

    en.wikipedia.org/wiki/Memory_consolidation

    Memory consolidation was first referred to in the writings of the renowned Roman teacher of rhetoric Quintillian.He noted the "curious fact... that the interval of a single night will greatly increase the strength of the memory," and presented the possibility that "... the power of recollection .. undergoes a process of ripening and maturing during the time which intervenes."

  5. Storage (memory) - Wikipedia

    en.wikipedia.org/wiki/Storage_(memory)

    However, to explain the recall process, the memory model must identify how an encoded memory can reside in the memory storage for a prolonged period until the memory is accessed again, during the recall process; but not all models use the terminology of short-term and long-term memory to explain memory storage; the dual-store theory and a ...

  6. Limited-memory BFGS - Wikipedia

    en.wikipedia.org/wiki/Limited-memory_BFGS

    Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited amount of computer memory. [1] It is a popular algorithm for parameter estimation in machine learning.

  7. Transfer learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_learning

    Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification , knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.

  8. Hippocampus - Wikipedia

    en.wikipedia.org/wiki/Hippocampus

    The between-systems memory interference model describes the inhibition of non-hippocampal systems of memory during concurrent hippocampal activity. [77] Specifically it was found that when the hippocampus was inactive, non-hippocampal systems located elsewhere in the brain were found to consolidate memory in its place.

  9. Memory - Wikipedia

    en.wikipedia.org/wiki/Memory

    The working memory model. In 1974 Baddeley and Hitch proposed a "working memory model" that replaced the general concept of short-term memory with active maintenance of information in short-term storage. In this model, working memory consists of three basic stores: the central executive, the phonological loop, and the visuo-spatial sketchpad.