Lecture 2- Levels of Analysis and Explanation Flashcards

0
Q

Perception as an active process

A

start with an agent with some developmental history: how they develop a knowledge base

what if it wasn’t a human agent? what kind of agent: different types of sensors and uses that info differently

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1
Q

human sensory systems can be best thought of as…

A

…actively engaging sensory stimuli

it’s an interaction with the environment, focusing your eyes on something: they’re always moving, you’re always changing your perspective a bit

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2
Q

Environmental Stimulus

A

distal stimulus:

  • ex: tree, object that you’re trying to detect
  • it’s always at a distance
  • try to orient towards it

some input will come from the d.s.

first step where things can go wrong: light going through the atmosphere, obscured by smoke

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3
Q

Receptor Processes

A
  • stimulus (light energy) transduced into electrical energy

- transduction: changing in the type of energy

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4
Q

Neural Processing

A

happens at the local level and further on through the primary sensory cortex

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5
Q

Consciously Perceive (detect) that there is a thing

A

detected the distal stimulus

may not know the nature of the thing, can’t catagorize

if we have enough we go from perceptoin to recognition (OH! it’s a chair)

with or without recognition you’re still going to act

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6
Q

Perception vs. Recognition

A

you can have one without the other

example: indivual can describe an object in detail without being able to put it in a specific class: VISUAL FORM AGNOSIA where common objects cannot be recognize

Recognizing without Perceiving: Blind site: where people believe they are blind but under the right testing conditions they can recognize objects without consciously percieving it: different functions dissociated from one another: suggests that there are diff parts of the brain responsible for those functions (diff parts of the brain for perceptions and recognition)

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7
Q

Visual form agnosia

A

you recognize someone but you can’t place how you know them

perception without recognition

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8
Q

top-down processing

A

history biases you to interpret results in certain ways

experience literally makes you look at things differently

Ex: twins: one twin is an entomologist and one hates bugs: both detected and both attempted recognition but both had different sensory experiences: interact with the environmental stimulus differently

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9
Q

bottom up processing

A

receptors excited based on input

with always interact with the top down processing = never one or the other, it’s both

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10
Q

How do we measure effects at each state of the perceptual process? Where do we start?

A

define terms
framework
perception doesn’t happen at just one level, involves a lot, so our framework has to account for that =

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11
Q

Measurment

A

assigning numbers to observable entities or events

problem: how to observe what’s going on in someone’s head? you can’t see it?

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12
Q

Sensory qualia

A

the technical term for the experience in someone’s head, associated with some particular event

experience of a certain color, hearing a sound, detecting a taste

are all subjective

can’t be directly observed

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13
Q

Theoretical constructs

A

we believe that unobservable entities (color perception) exist in some sense, but can’t be directly observed

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14
Q

operational defintion

A

created for the internal theoretical construct

assigns observable behavior as a proxy

when we see it we can make an inference that come perception is being experienced

fundamental fact of science

when i measure that thing it tells me it’s there

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15
Q

precision is theoretically limiting

A

what if your operational defintion is wrong?

- what if mri isn’t a good indicator of brain activity? you’ve been thinking about things the wrong way

16
Q

operational def.

A

observable act

pointing, speaking

17
Q

theoretical constructs

A

recognition and perception

18
Q

what is vision for? what is hearing for?

A

model of processing can’t help with that, assumes you know the problem

doesn’t tell you the problem itself

19
Q

Marr’s Level’s of Analysis *****

A

computational level

algorithmic level

implementation level

complementary and interact with each other

20
Q

david marr

A

first computational neuroscientist

computer scientist interested in computer vision

hippie

book: Vision

asked some basic questions trying to come up with computer vision systems

bigger question: what is the system trying to solve? what is vision doing for us?

21
Q

computational level

A

basic question: what problems does the system solve and why?

what does vision do? danger: color, motion, edges

22
Q

algorithmic level

A

if this system is trying to solve some problem (danger-threat level), how does it do that? what representations does it use?

goes through a serious of steps: looks through features that indicate threat

23
Q

implementation level

A

what’s happing in the brain?

is it neural tissue? in a computer system? how is being physically instantiated? how does it act? does it go through some steps on the algorithmic level to solve some problem on the computational level?

24
Q

what about when one of the different levels comes into conflict?

A

key to scientific progress, what you would look for is the most concurring evidence that all holds together = higher theory

25
Q

Proximal stimulus

A
  • info bounced off of that object
  • info as transmitted from the atmosphere that hits the eye
  • how could it be different if we had a diff kind of eye? (camera lens, bird’s eye)
  • always different from distal stimulus