Koofers

Test 2 - Flashcards

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Class:0514 443 - Cognitive Psychology
Subject:Psychology
University:Rochester Institute of Technology
Term:Spring 2010
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memory code representation used to store an item into memory physical: visual phonemic: auditory semantic: meaning based
orienting task( judgment task) instructions to focus on a particular aspect of a stimulus 9 physical, phonemic, semantic)
Information Processing Model a theory that states deeper semantic levels of processing enhances memory the more processing, the better the memory
STM limited amount of info 7 +/- 2; 20 sec
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LTM long term memory limitless rehersal of short term memory puts things in long term memory forgetting rate is slow
Stages of Verbal Memory STM LTM 1. format info phonemic, visual? largely semantic 2. capacity small limitless 3. info loss interference/decay loss of retrival
Level of Processing theory the greater the semantic analysis, the greather the depth of the processing and more durable the memory
elaboration storing associations to help recall target item ex. vase : broke aunt's vase semantic elaboration helps reconstruct elaboration makes memory easier to retrieve
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Distinctiveness item that is different in appearence or meaning from other objects
primary distinctiveness item distinct from other in immediate context
Secondary Distinctiveness an item is distinct from one in LTM as oppose to the items in immediate context-- as oppose to whats in front of your face
orthographic distinctiveness lowercase words with distinct shape ex. kakhi : distinct ex. kennel: not distinct
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emotional distinctivness items that produce emotional reponse
flashbulb memory memory of an important event that caused emotional reaction. - based on confidence not consisteny - gets inaccurate over time
Encoding Specificity Principle The encoding specificity principle is a theory about human memory in cognitive psychology. specific encoding operations performed in which - the percieved determines what is stored - what is stored determines the retrival cues memory code should math retrival cue encoding match retrival cue
concrete object easy to form image ex. flower, dress
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abstract concept difficult to form an image " low imagry"
propositional theory images are not unintrepreted pictures int he head image= description of a scene spatical knowledge can be expressed in semantic based propositions
theory of visual images process images same as processing perceptual information image= spatial representation analougus to the experiencde of seeing the object during the visual
category consist of objects/ events we group together because we feel they are related
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artificial categories category that can be distingushed on a basis of a simple rule
Real Life/ Natural Categories cannot be distingushed on basis of single rule : novel patterns properties: 1. don't share identical attributescategory members may share some attributers 2. not all good 3. hierarchial organized 4. categorized by how we use them, not abstract rules 5. fuzzy borders 6. no features must be present nor are any specfic featrues sufficient
typicality how well members of a category represent that category
exempler model people remember examples from the category to compare the novel patterns to the example
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features models classify novel patterns by determining how many features match category features
prototype model people create a pattern that they feel is a good represenative of the category
theory- based model base cattergories on what our knowledge and prior experience tell us about the object
nearest neighbor rule person compares the novel pattern to all patterns to find the one most similar
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prototype rule mainly average of all patterns in that category
feature frequeny look at features of a novel patrern and compare how many times they exactly match features of category patters
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 memory coderepresentation used to store an item into memory
physical: visual
phonemic: auditory
semantic: meaning based
 orienting task( judgment task)instructions to focus on a particular aspect of a stimulus 9 physical, phonemic, semantic)
 Information Processing Modela theory that states deeper semantic levels of processing enhances memory

the more processing, the better the memory
 STM limited amount of info
7 +/- 2; 20 sec
 LTMlong term memory
limitless
rehersal of short term memory puts things in long term memory
forgetting rate is slow
 Stages of Verbal Memory STM LTM
1. format info phonemic, visual? largely semantic
2. capacity small limitless
3. info loss interference/decay loss of retrival
 Level of Processing theorythe greater the semantic analysis, the greather the depth of the processing and more durable the memory
 elaborationstoring associations to help recall target item
ex. vase : broke aunt's vase

semantic elaboration helps reconstruct
elaboration makes memory easier to retrieve
 Distinctivenessitem that is different in appearence or meaning from other objects
 primary distinctivenessitem distinct from other in immediate context
 Secondary Distinctiveness an item is distinct from one in LTM as oppose to the items in immediate context-- as oppose to whats in front of your face
 orthographic distinctivenesslowercase words with distinct shape
ex. kakhi : distinct
ex. kennel: not distinct
 emotional distinctivnessitems that produce emotional reponse
 flashbulb memorymemory of an important event that caused emotional reaction.
- based on confidence not consisteny
- gets inaccurate over time
 Encoding Specificity PrincipleThe encoding specificity principle is a theory about human memory in cognitive psychology.

specific encoding operations performed in which
- the percieved determines what is stored
- what is stored determines the retrival cues
memory code should math retrival cue
encoding match retrival cue
 concrete objecteasy to form image
ex. flower, dress
 abstract conceptdifficult to form an image
" low imagry"
 propositional theoryimages are not unintrepreted pictures int he head

image= description of a scene
spatical knowledge can be expressed in semantic based propositions
 theory of visual imagesprocess images same as processing perceptual information
image= spatial representation analougus to the experiencde of seeing the object during the visual
 category consist of objects/ events we group together because we feel they are related
 artificial categoriescategory that can be distingushed on a basis of a simple rule
 Real Life/ Natural Categoriescannot be distingushed on basis of single rule : novel patterns
properties:
1. don't share identical attributescategory members may share some attributers
2. not all good
3. hierarchial organized
4. categorized by how we use them, not abstract rules
5. fuzzy borders
6. no features must be present nor are any specfic featrues sufficient
 typicalityhow well members of a category represent that category
 exempler modelpeople remember examples from the category to compare the novel patterns to the example

 features modelsclassify novel patterns by determining how many features match category features
 prototype modelpeople create a pattern that they feel is a good represenative of the category
 theory- based modelbase cattergories on what our knowledge and prior experience tell us about the object
 nearest neighbor ruleperson compares the novel pattern to all patterns to find the one most similar
 prototype rulemainly average of all patterns in that category
 feature frequenylook at features of a novel patrern and compare how many times they exactly match features of category patters