midterm Flashcards
perception
how stimulus gets represented in our mind so we can act upon whats going on around us
agnosia
deficit in recognition despite normal vision due to brain damage
appreceptive agnosia
cant name, match, copy, or discriminate visual stimuli\ncant combine basic visual information to form an image\nlike glancing at something and looking away really fast
associative agnosia
cant recognize the objects they are looking at \ncan copy bc they can combine features\nthey can guess but its not real perception
steps to visual perception as indicated by agnosia
- input\n2. assemble basic visual components (appreceptive agnosia)\n3. meaning is links to visual input (associative agnosia)
experience error
assumption that what you see is accurate because perception is so effortless\nex. visual illusion show that we dont always perceive an accurate representation of visual stimulus
smooth pursuit
the smooth trail your eyes take when youre following a moving object with your eyes
fixation–saccade
a type of experience error in which your eyes jump between stationary objects \nreal visual perception is suppressed to avoid a blur when your eyes move aka gaps in your visual every time your eyes move aka not actually perceiving what were seeing aka experience erro\nwe get visual info during fixation not saccade
Distal stimulus
something perceived at a distance that we cannot access
proximal stimulus
mental representation of distal stimulus
computational approach to perception
concerned with discovering how the brain represents and interprets distal stimulus (the physically objective reality of the object) aka proximal stimulus
gestalt approach to perception
uses organizational principles to create meaningful perception of the environment \n”the whole is different than the sum of its parts”\naka gestalt is about grouping not breaking features down\nnot predictive
bottom up processing
data driven\nwe recognize patterns my analyzing stimulus piece by piece
top down processing
conceptually driven\nperception is influenced by past experience and prior knowledge
template matching theory
computational approach\n according to template theory we have a mental ‘stencil’ for an array of different patterns (especially for letters) \nIt would be impossible to have so many templates in our mind\n\nworks for computers not people
feature matching theory
computational approach\n we have a system for analysing each distinct feature of a visual item\n\neg. pandemonium
pandemonium model
selfridge\nfeature matching theory\nimage, feature, cognitive, and decision demons\ncapture image, identify their feature, yell for most likely letter, and choose letter\nserial processing
problems with pandemonium model
doesnt explain how features come together, just that cog demons know how\ndoesn’t try to understand 3D perception
physiological support for feature matching theoru
feature detector neurons\nstill doesnt explain configuration problem
structuralism
wundt and titchener\nanalyatic introspection\ncontent of thoughts\nwas pretty scientific but titchener got rid of repeatability so not great
functionalism
william james\npurpose of thought
4 principles of scientific methos
- empiricism (conclusions based on data)\n2. determinism (observation has a cause)\n3. testability (falsification)\n4. parsimony (simplest theory that explains all data)
behaviourism
watson and skinner\nblack box
latent learning
tolman rat experiment
problems with behaviourism
no latent learning (tolman)\nno language explanation – ppl come up with new stuff all the time they weren’t taught like kids saying \i hate you mommy/ for dramatic affect (chomsky)
Newell and Simon
first designed a computer program Logic Theorist which was better than humans\nfirst thinking machine\nsuggested brains are a symbol system
neisser
coined the term cognitive psychology\nfirst to think of human brains as information processes\nfirst to use suggest computer models to explain human brain functions
representationalism
Describes how the unobservable mind can act on the real world
Aboutness
the conscious experience we have about the world; mental representation is what our consciousness holds about our surrounding reality \nlike a stage\nassumes all thoughts are mental representations about something real
Marr
proposed that if computers process information and so does our mind, then our mind must be computational
Modern understanding of cognitive psychology
Mind stores symbols representations from an input which are manipulated with rules to produce an output.
connectionism
alternate theory of computing\nseries of neurons connected instead of symbols
embodied cognition
believes info is given by real world interaction and not representation, therefore you cannot study perception in a vacuum without real body interaction\nex. ppl carrying heavy books thought staircase was steeper than ppl who didnt
grounding problem
issue for AI and cog psych\ncan never actually define a symbol without another symbol\nonly way around is to actually hold the thing
machine learning
Machine learning is a type of AI programming in which computers learn from data to improve their performance on tasks without explicit instructions for each step.
artificial neural networks
a rtificial neural networks are a key machine learning technique modeled on the structure and function of the human brain.They allow computers to learn complex patterns and adapt to new information, offering a potential path to replicating human cognitive abilities
what are some of the key challenges in developing human–like AI?
complexity of the real world (hard to predict every thing), hard to replicate human ability to filter important info, hard to replicate human flexibility
The “cognitive revolution” led to the idea of cognition as a form of ______
computation
operant vs classical condioning
active vs passive particpant
science works on the premise of…
pragmatic materialism
materialism is a type of…
monism
To say two functions are doubly dissociated indicates that those two functions ______.
involve different mechanisms\nlike how speech production and comprehension are doubly dissociated (broca and wernickes aphasia)
parietal lobe
attention and sensory processing
temporal lobe
meaning of sensory info and language
This technique simulates the basic architecture of the human brain.
artificial neural network
This type of neuron receives information from neurons and sends information to other neurons.
association
specificity vs distributed vs sparse encoding
one neuron one task, group of neurons at different rates, combo of two (some same some dif)
biedermans recognition by components
type of feature matching\ngeons (3d shapes) are viewpoint invariant (can be recognized from any angle) because they have nonaccidental properties (things that belong to the object regardless of viewpoint)\n\nBUT recognition is impaired when we view objects from noncanonical viewpoints\nbasically, we break down features to identify unless the feature is hidden – not true for humans
viewpoint invarient
can be recognized from any angle\nbiederman
nonaccidental properties
properties that belong to the object regardless of viewpoint\nex. parallel lines on a phone are nonaccidental and shadows are accidental (sometimes there)\nbiederman
noncanonical viewpoints
unconventional viewpoints in which nonaccidental properties are hidden and so they are hard to identify
view based recognition
top down\nagainst biederman – ppl are not viewpoint invariant, we are view point sensitive/centered and context does matter in how we perceive its not just the geons (feature matching)\nsuggested by the fact that we recognize faster from familiar viewpoints
is biederman bu or td
bottom up
arguments agianst bottom up processing
too long to analyze feature by feature\ncant explain within category descrimination
patter recognition depends on (top down/bottom up)
top down
light from above heuristic
example of top down processing \nevolutionarily, we assume all light comes from above, so we perceive depth based on this assumption
gestalt bu or td
top down
law of proximity
gestalt \nif close, we group
law of similarity
gestalt\nif similar in feature, we group
law of common region
gestalt\nif enclosed, we group
why is gestalt not predictive
bc we cannot predict what laws will win out in every occasion, depends on each image
role of experience in gesalt
if youve associated it before, you will group it again in the future
direct perception approach
gibson\nembodied cognition approach\nargued that classical perception study focuses on ‘indirect’ representation of objects (distal) whereas we should focus on the direct representation (proximal)\ngoal of perspective is action
ambient optic array
Because we are always moving around, the ambient optic array is all that is needed to gain information about the world
what is motion
optic flow (continuous change in optic array)\nif flow, observer in motion\ndirection of flow indicates the direction the observer is mover
object affordances
gibson’s direct perception approach\nthe knowledge of how to interact with things in the world that we learned from interactions with our body\nex. look at a chair and know it “affords” sitting
in Gibsons direct perception approach, affordances directly connect ____and ____ without the need for ____ processes. \nthere is no ___ stimulus and no role of ____
perception, action, cognitive\nproximal (perceptual representation), memory (top–down processing)
dorsal stream for object recognition
“where/how” stream – how do i act on this\nlateral occipital cortex to parietal\naction affects perception\nideomotor apraxia
temporal stream for object recognition
“what” stream – what is this\nllateral occipital cortex to temporal\naction does not affect perception\n associative agnosia pt have damage here
ideomotor apraxia
damage to dorsal stream of recognition\nknow what it is but not how to use it\nopposite of associative agnosia
blind sight
damage to the occipital cortex\ndissociation/independence of visual recognition and vision for action
facial recognition brain area
fusiform face area – FFA
Constructive Perception
the brain builds a mental model of the world based on sensory input and prior knowledge. This model accounts for the stability of perception despite constantly changing sensory information.\n “These observations suggest that our brains take an unstable, divided sensory input and turn it into a stable, unified model of the world.”
Transduction
the process of converting a physical stimulation into a neural code
Exteroception
The sensing and processing of information from the external environment by the five senses
Interoception
The sensing and processing of information from inside the body
Figure–group assignment
the determination of which side of a boundary contains the shape versus the background Our brain has a bias for identifying convex and symmetrical figures as the figure
phonemic restoration effect
An auditory illusion where missing sounds in speech are “filled in” by the brain based on the context and expectations of the language\ntop down
What are figure–ground cues?
Cues used by the brain to determine figure and ground, including convexity, symmetry, and smaller region.
scene schemas
Our knowledge of what objects typically appear in certain scenes
exogenous attention
stimulus driven – something catches our attention
endogenous attention
deciding to pay attention to something