Working model+ LTM

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16 Terms

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Working model

  • updated model, explains how memory is an active model 

  • Capacity is measured in “operation span”, not ‘chunks.” 

  • Processing span and Digit span 

  • embodied within sensory-motor systems

  • Modality independent 

    • Ex. you can remember sound independently from images 

<ul><li><p>updated model, explains how memory is an active model&nbsp;</p></li><li><p>Capacity is measured in&nbsp;“operation span”, not&nbsp;‘chunks.”&nbsp;</p></li><li><p>Processing span and Digit span&nbsp;</p></li><li><p>embodied within sensory-motor systems</p></li><li><p>Modality independent&nbsp;</p><ul><li><p>Ex. you can remember sound independently from images&nbsp;</p></li></ul></li></ul><p></p>
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Processing span

how many items a person can successful “do”

  • ZAPS memory and Multiplication task

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digit span

How many items a person can remember

(ex. list)

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3 modality-specific stores (working memory)

  1. Visual spatial sketchpad (vision)

  2. Episodic buffer (time)

  3. phonological loop (sound)

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Central executive (working memory model)

centrals the processes tha control the flow of info, dorects what info has acess to what 

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Phonological loop

audio process of working memory, storage capacity ~2 seconds

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Claim support for modality-specific stores

  • Audio interference (Aba Aba Aba) affects phonological loop memory, but not visual spatial memory 

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Matienence rehearsal

encodement factor for LTM, keeps things active in WM, doesn’t actually keep things in LTM

(repeating a phone number in your head)

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Elaborate rehearsal

encoding factor for LTM, establishes long and durable representation, connecting it with initial knowledge 

Ex. Associating a new name with someone you know

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level of processing

how much you work with material corresponds to how well it’s encoded within the LTM

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Mnemonics

component of elaborate rehearsal

Ex. ROY G BIV

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Why do factors help encode in LTM?

  • network of representations

  • Info is represented as a network, and connections can spread and activate other nodes

    • Ex. Car to fire truck to red to strawberry

    • explains how we understand “hints”

  • Networks help us understand why factors work, and they create and strengthen node connections

<ul><li><p>network of representations </p></li><li><p>Info is represented as a network, and connections can spread and activate other nodes </p><ul><li><p>Ex. Car to fire truck to red to strawberry</p></li><li><p>explains how we understand “hints” </p></li></ul></li><li><p>Networks help us understand why factors work, and they create and strengthen node connections </p></li></ul><p></p>
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Encoding specificity

theory explain existence of context-dependent learning

  • states that when you learn, a pattern of activation is created that reflects everything about your current stet (when you learned info) 

  • sensory/state becomes part of activation and a “recreation” or when you learned the info

  • Ex. Scuba diving example, remembering when you’re drunk  

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Context-specific

remembering better based on the world around you

  • ex. chewing mint gum in a library while doing math homework

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State-speicifc learning

learning better based on you physical state

ex. doing math homework while plastered

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remembering

the activation of previously established connections