Thought: Knowledge Flashcards

1
Q

What are the differences between episodic and semantic memory?

A

Episodic:

  • reference to one self
  • organised temporarily
  • events recalled “consciously”
  • Susceptible to forgetting
  • Context dependent
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is challenging about studying episodic and semantic memories?

A
  • there is a lot of interdependence between the two systems making distinctions unclear
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What evidence is there supporting the distinction between semantic and episodic memory?

A

Semantic Dementia vs Alzheimers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the neuro-pathology of semantic dementia?

A
  • non-alzheimer type degenerative pathology
  • of the polar + inferolateral temporal cortex
  • relative sparing of hippocampus in early stage
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are the symptoms of semantic dementia?

A
  • progressive, selective deterioration in semantic memory
  • reasonable preserved episodic memory
  • *Where as Alz = episodic memory degradation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What did Graham et al in 2002 find when they compared SD and Alz?

A

Poor object naming in SD but not AD

- supporting distinction of Semantic and episodic memeory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

In what ways does knowledge inform many aspects of language processing?

A
  • language = more than just stored words/ grammar rules

- When reading + listening, we use knowledge to make inferences = underlies language comprehension

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are the different models proposed to explain the structure of Semantic Memory/ knowledge?

A
  1. Feature comparison Model: Smith et al, 1974
  2. Prototype Models: Rosch, 1973
  3. Exemplar Models
  4. Network Models
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Describe the Feature Comparison Model by Smith et al, 1974.

A
  • concepts (mental representations of objects/ categories) are stored as lists of defining or characteristic features
    EG: Scientific verification task
  • typicality effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the scientific verification task?

A
  • Look at reaction time to verify a sentence
    1. Is carrot a veg?
    2. Is an artichoke a veg?
  • 1 = quicker response as a carrot has more characteristic features = Typicality effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the typicality effect?

A

When a particular object is more recognisable than others due to it having more characteristic features

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is the limitation of the Feature Comparison Model?

A
  • few concepts can be reduced to list defining characteristics: Game…. :\
  • features are not independent of other info
    eg: objects with leaves are less likely to have legs than objects than have fur
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Describe the Prototype Model by Rosch, 1973

A
  • Category membership is not clear cut INSTEAD…
  • prototype models define the “centre” (avg) of a category VS its boundaries
  • Prototypiclity effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is the prototypicality effect?

A

the avg description making it easier to identify concept
EG: Defining characteristics of “Bachelor” = unmarried man
- single 32 y/o man vs 9 y/o boy
= faster confirmation of single 32 y/o man as a bachelor

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is good about the prototypically models vs models that use categories?

A
  • categories have a graded structures

= some are more representative (prototypical) than others

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are the key claims of the Prototype models?

A
  1. Prototypes differ from non-prototypes

2. Objects are categorised at 3 different levels

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What does “prototype differs from non-prototypes”, one of the key claims of the Prototype model, mean?

A
  • The examples of a category most often generated are also those rated as most prototypical; Mervis et al, 1976
  • Semantic priming: we are faster to decide if “apple” is a word if it is presented by the unconsciously present word “fruit”
    • where the priming effect is greater for prototypes
  • prototypes share most features with other category members
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What are the 3 different levels objects are categorised into?

A
  1. Superordinate
    - Furniture, Animal
  2. Basic
    - Chair, Dog
  3. Subordinate
    - Armchair, Alsatian
19
Q

Why does the basic level of categorisation have special status?

A
  • used to name objects
  • shows the largest semantic priming effects
  • distorts memory
20
Q

What are the benefits of the prototypical model?

A
  • Can explain a lot of empirical findings

- allows “loose” concepts to be created

21
Q

What are the limitations of the prototypical model?

A
  • prototypes can change with context
  • prototypes “lose” info
  • Experts have different prototypes
22
Q

What is an alternative view to protoypes?

A

use exemplar models

23
Q

What is similar between exemplar and prototype models?

A
  • both models involve comparisons between external reality + an internally generated “standard”
24
Q

Describe the Exemplar Model

A

specific examples VS ‘avg’ prototypes drive the typicality effect
- easier to find specific memories of common objects compared to uncommon ones

25
Q

What are the benefits of the exemplar models?

A
  • do not require abstraction

- preserves info about variability like could this be a pizza or a ruler?

26
Q

How many inches = more likely to see a larger pizza vs ruler as found by Rips + Collins in 1993?

A

12”

27
Q

What are the limitations of the Exemplar model?

A
  • applies to complex more than simple categories

- infers that we store every single example of a category

28
Q

What are the different Network models?

A
  1. Hierarchical Nets; Colins + Quillian, 1969
  2. Semantic Nets; Collins + Loftus, 1975
  3. Adaptive Control of Thought- Rational (ACT-R); Anderson, 1983, 2000
  4. Parallel Distributed Processing (PDP); McClelland + Rumelhart, 1986
29
Q

Describe the network model: Hierarchical Nets by Colins + Quillian (1969)

A
  • emphasise the relationship between concepts

- relate to feature comparison models since it looks at features + concepts

30
Q

What are the key concepts of the Hierarchical Nets, Network model?

A
  • concepts represented by nodes
  • Nodes connected by links
  • Semantic relatedness
    EG: people faster to verify Canaries are yellow vs have feathers
31
Q

What is a limitation of the Hierarchical Nets, Network Model?

A
  • ppt are very fast to verify “peacocks have feathers” which doesn’t describe how these features are represented
32
Q

What are the key concepts of the Semantic Nets Network Model by Collins + Loftus in 1975

A
  • semantic distance
  • spreading activation - if one is activated, the closest one would be activated
  • link strength or weight (depicted by semantic length here)
33
Q

What evidence are there supporting the semantic nets, Network Model for structure of semantic memory?

A

McNamara, 1992

  • semantic priming greater for “closer” items
  • which explains the false memory effect = DRM paradigm
34
Q

What is the DRM paradigm?

A

Deese-Roediger-McDermott paradigm

  • false memory
  • being able to remember specific words, but they also remember another detail just due to semantic relatedness even though it isn’t an original word on the list
  • RL context: EWT
35
Q

Describe the ACT-R network model

A

Adaptive-control of thought- rational

  • a theory of all cognition
  • declarative memory is one small part
  • more often links are activated the faster they become
  • number of links that can be supported is limited by the strength of the concept
  • assumes a finite amount of activation - if spread thinly, then decisions are slower and acquiring new connections is harder
  • Fan effect
36
Q

What is declarative memory?

A
  • smallest unit of info that can be declared true or false
37
Q

What is the Fan effect?

A

time to make true/ false decision increases with the number of items of info associated with the location and person

38
Q

What are the key features of the Parallel Distributed Processing Network model by McClelland + Rumelhart in 1986

A
  • “neuron” like nodes connected by links
  • a concept represented by a pattern of activity distributed across many nodes
  • links have different “weight” strength
  • info processing proceeds in parallel – many patterns of spreading activation may occur at the same time
  • PDP models allow for spontaneous generalisation and graceful degradation
39
Q

What does graceful degradation mean?

A
  • how when we start to age, tent to forget details of a concept where one link starts to decay slowly over time, just gracefully degrading
40
Q

Other than just concepts, what do semantic memory store?

A
  • Schemas

- Scripts

41
Q

What are schemas?

A

generic info about situations/ general rules that are typically accurate

  • research into this area fell out of fashion whilst behaviourism was dominant
  • highlights the interplay between “top down” + “bottom-up” in for processing
42
Q

What are scripts?

A

structured, ordered sequence of events

  • can be a prototype
  • an abstraction
43
Q

What did Brewer + Treyens in 1981 find about schemas and retrieval?

A

Schemas can distort memory
- ppt asked what they say when they were in a waiting room for 35 min
= things that are expected to be there were recalled
- books
- not recall picnic hamper + wine bottle