Models of the brain Flashcards

1
Q

what are the 3 streams?

A

neuroscience, psychology, artificial intelligence

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2
Q

what are some characteristics of AI?

A

logic, symbolic approach, machine learning

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3
Q

what was AIs first topic?

A

reasoning (looked at reasoning processes to create inference)

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4
Q

how are psychology, neuroscience and AI interlinked?

A

back and forth ideas and findings between the disciplines e.g. AI uses ideas from neuroscience such as learning in neural networks

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5
Q

what did Aristotle argue?

A

that its about the structure of the info rather than the specific meaning of words

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6
Q

how were machines first used in AI?

A

symbolic logic > manipulate symbols to automate the process of reasoning, begin solving problems by translating facts into symbols

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7
Q

what are the 3 types of models?

A

data-analysis model, box and arrow model, computational model

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8
Q

data driven, purely descriptive, correlational. what model is this?

A

data-analysis model

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9
Q

what are the 2 types of information processing models?

A

box and arrow model, computational model

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10
Q

conceptual, implicit assumptions, common in psych, general processes and how they link together, transformations of ideas/info = what model is this?

A

box and arrow model

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11
Q

information processing model implemented as a simulation, explicit assumptions, abstraction, runs on a computer in code/symbols = what type go model?

A

computational model

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12
Q

when studying a cognitive process we always employ models often explicit or implicit?

A

implicit

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13
Q

computational models make assumptions ______ so assumptions can then be tested

A

explicit

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14
Q

why do we use models?

A

allow implicit assumptions to become explicit, allows for prediction, gives explanation, abstraction and idealisation

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15
Q

models can be _______ even if not predictive

A

explanatory

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16
Q

how can models be applied to clinical research?

A

can help explain the broad causes and effects of disorders

17
Q

what are the 3 levels in Marrs’ 3 levels of analysis?

A

computation, algorithm, implementation

18
Q

looks at what the specific PROBLEM is that the system wants to solve, what is the goal = which level?

A

computation

19
Q

looks at the specific APPROACH/RULES to solving the problem, how is the computational theory executed = which level?

A

algorithm

20
Q

looks at HOW the problem is PHYSICALLY carried out = which level?

A

implementation

21
Q

what are the 2 types of approach to Marrs’ 3 levels of analysis?

A

bottom up and top down

22
Q

what is the order of bottom up?

A

implementation > algorithm > computation

23
Q

what is the order of top down?

A

computation > algorithm > implementation

24
Q

all levels are important but which level is particularly favoured by experimental techniques?

A

implementation