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1

what are the 3 streams?

neuroscience, psychology, artificial intelligence

2

what are some characteristics of AI?

logic, symbolic approach, machine learning

3

what was AIs first topic?

reasoning (looked at reasoning processes to create inference)

4

how are psychology, neuroscience and AI interlinked?

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

5

what did Aristotle argue?

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

6

how were machines first used in AI?

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

7

what are the 3 types of models?

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

8

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

data-analysis model

9

what are the 2 types of information processing models?

box and arrow model, computational model

10

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

box and arrow model

11

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

computational model

12

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

implicit

13

computational models make assumptions ______ so assumptions can then be tested

explicit

14

why do we use models?

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

15

models can be _______ even if not predictive

explanatory

16

how can models be applied to clinical research?

can help explain the broad causes and effects of disorders

17

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

computation, algorithm, implementation

18

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

computation

19

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

algorithm

20

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

implementation

21

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

bottom up and top down

22

what is the order of bottom up?

implementation > algorithm > computation

23

what is the order of top down?

computation > algorithm > implementation

24

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

implementation