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Related Concept Videos

Explicit Memories01:27

Explicit Memories

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Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
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Storage01:23

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Elaborative Rehearsals01:07

Elaborative Rehearsals

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Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...
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Working Memory01:24

Working Memory

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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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System of Memory01:23

System of Memory

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Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
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Long-Term Memory01:18

Long-Term Memory

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Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
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Semantic memory: A review of methods, models, and current challenges.

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Neuroscience

Background:

  • Traditional view: semantic memory as static knowledge.
  • Modern view: dynamic system sensitive to context, task demands, and environmental input.
  • Computational models are key to understanding this shift.

Purpose of the Study:

  • Review traditional and modern computational models of semantic memory.
  • Discuss their contributions to knowledge representation and learning debates.
  • Evaluate how current models address challenges like context, grounding, and compositionality.

Main Methods:

  • Review of network, feature, and distributional semantic models.
  • Analysis of computational approaches including neural networks, retrieval, and topic models.
  • Discussion of challenges in data, generalization, and social influences.

Main Results:

  • Computational models offer insights into semantic memory's dynamic nature.
  • Modern models tackle temporal, contextual, and attentional influences.
  • Debates on knowledge representation and learning are informed by these models.

Conclusions:

  • Integrating representational and process-based accounts is essential.
  • Comparing computational models to human baselines is vital for psychological plausibility.
  • Future research should address data, cross-lingual generalization, and social learning.