Cognitive Processes: W2L1
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Questions and Answers

What is the capacity of short-term memory (STM)?

  • 7±2 (correct)
  • Unlimited
  • 10±3
  • 5±1
  • What primarily causes forgetting in long-term memory (LTM)?

  • Decay over time
  • Lack of retrieval cues
  • Interference with new information (correct)
  • Failure to encode information
  • Which type of coding is most commonly used in short-term memory?

  • Phonological coding (correct)
  • Visual coding
  • Semantic coding
  • Kinesthetic coding
  • In modern models of short-term memory, which component is NOT part of the working memory system?

    <p>Declarative buffer</p> Signup and view all the answers

    Which of the following best describes episodic memory?

    <p>Recalling a personal experience</p> Signup and view all the answers

    Study Notes

    Short term Memory (STM)

    • Limited capacity of 7±2 items
    • Information decays within 20 seconds if not rehearsed
    • Primarily uses phonological coding

    Long-term Memory (LTM)

    • Unlimited capacity
    • Forgetting occurs due to interference rather than decay
    • Primarily uses semantic coding

    Working Memory

    • A more modern approach to STM
    • Incorporates a central executive and an episodic buffer
    • Includes "slave systems"
      • Phonological loop responsible for verbal information
      • Visuo-spatial scratch pad responsible for visual and spatial information

    Memory Systems

    • Declarative memory system
      • Semantic memory (general knowledge)
      • Episodic memory (personal experiences)
    • Nondeclarative memory system
      • Procedural memory (skills and habits)
      • Priming (facilitated processing of a stimulus due to previous exposure)
      • Classical conditioning (associating two stimuli)

    Hierarchical Network Models

    • Proposed by Collins & Quillian (1969)
    • Emphasize superset relationships
      • Include property relationships (attributes of a concept)
    • Utilize associational networks
      • Unique for each individual
      • Include proposition networks (representing relationships between concepts)
      • Can incorporate story-based knowledge
    • Based on parallel distributed processing (PDP) models
      • Similar to neural networks
      • Generate stereotypes, allowing for generalization across different examples of the same concept (e.g., different types of chairs)

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