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acuity
smallest detail that can be resolved
snellen E test
for visual acuity
eye doctors visual acuity test
your distance/ normal distance 20/20
researchers definition for acuity
smallest angle of a cycle of grating
smaller better
how acuity varies
same object size + different distance
different object size + same distance
rods and acuity
larger receptive fields
only in peripheral
less acuity
(circles between lines)
Visual crowding
clutter on peripheral object detection
other stimuli nearby- appear jumbled
simplify peripheral imaged by averaging
Spatial frequency
number of grating per unit of visual angle
naive realism
we perceive the world as it is
idealism
only reality is that of the mind
internal cut off from external
matrix
descartes
representative realism
perceive external world indirectly and imperfectly by sensory data
perception
giving meaning to sensation
interpretation
context important
not always accurate
sensation
ability to detect a stimulus
bottom up
data based
incoming stimuli
top down
knowledge based
based on previous knowledge
why self driving cars dont work
cant interpret ambiguous information
threshold
limit to what we can sees
scaling
measuring private experience
signal detection theory
measuring difficult decisions in presence of noise
just noticeable difference
criterion
sensitivity
sensory neuroscience
the biology of sensation and perception
just noticeable difference
smallest detectable difference bw 2 stimuli
absolute threshold
min amount of stimulation for a person to detect for 50% of time
webers law / fechners
measuring the intensity of a stimulus and how intense you perceive it
applies to all senses
stevens law
not all stimuli are the same
scaling methods
electric shock vs light
criterion
how much evidence to say there
sensitivity
how easy to see difference bw presence and abcense
perception =
stimulus + previous knowledge
doctrine of specific nerve energies
which nerves are stimulated not how
rate coding
how fast firing = intensity
tuning curves
tuned to stimulus
specificity coding
implausible
grandmother cell
respond to only one stimulus
population coding
pattern of firing across a large number of neurons
MRI
anatomical
EEG
temporal good = time sensitive tasks
avg bc of noise
FMRI
good spatial
control - reaction
blood flow
cornea
window into eye
aqueous humour
watery fluid in anterior chamber
lens
focuses light onto back of the eye
iris
colour that regulates light entering the eye
retina
light sensitive membrane in the back of the eye
rods and cones
image is focused on
ophthalmoscope
back surface of patients eyes called fundus
accommodation
lens changing shape = refracting power
presbyopia
accommodation gets worse with age (refracting problem)
emmetropia
no refractive error
refractive problems
focuses in front or behind
myopia
before retina
nearsightedness
hyperopia
behind retina
farsightedness
astigmatism
unequal curving of retina
rods
night
no colour
high convergence
peripheral
cones
daytime acuity
colour
low convergence = same no matter the pattern
for fovea
macular degeneration
destroy cone rich fovea
blind spot in centre
age
retinitis pigmentosa
destroy peripheral rod receptors
tunnel vision
hereditary
light movement
light - photoreceptor - horizontal and bipolar cells - out optic disc
center-surround receptive fields
filter for incoming info - best fit
fuzzy stimulus
sine waves
strong stripes
square waves
180 response
negative
0 response
positive
90 response
no response
270 response
no response
parvocellular
low contrast
colour
slow
sustained response
magnocellular
monochrome
high contrast
low spatial resolution
fast
koniocellular
bw mag and parv
magnocellular
for large fast moving objects
parvocellular
for fine spatial details of stationary objects
circular receptive fields are where
retina and lgn
elongated receptive fields are in the
cortex
cortex receptive fields respond
orientation selectivity
lgn and retina receptive field response
spatial frequency
simple cells
edge and stripe detectors
need to be aligned
complex cells
no defined region
respond to bar of light anywhere
hypercolumns
neurons with same orientation preference is arranged in columns vertically
adaptation
reduction in response bc of prior stimulation = knocks out receptor
tilt aftereffect
template based
run out of neurons for every possible view
feedforward process
do detection without feedback
gestalt
good continuation
similarity
proximity
texture segmentation
parallelism
symmetry
common region
connectedness
which are in conflict
similarity and proximity
camouflage
animals exploit gestalt principles
perceptual committees
all grouping principles come together
where
parietal / dorsal
what
temporal/ ventral
agnosia
failure to recognize objects - temporal
pandemonium
demons are neurons
template
match representation with representation in the same shape
structural description
relationship of different parts
biedermans
by identities and relationship of parts
deep neural networks
grandmother cells
bayesian approach
current stimulus (chance) and prior knowledge (belief)
thatcher illusion
not viewpoint invariant
aphantasia
cant create mental images
hyperaphantasia
extremely vivd mental imagery
modality
same sense makes it harder to detect stimulus
analog guy
kosslyn
propositional guy
plyshyn
epiphenomenon
happens at same time but doesnt cause eachother
tacit knowledge
just knowing to scan a map
unilateral spatial neglect
neglect half of visual field
propagnosia
cant recognize face
unfamiliar faces
external parts of faces
familiar faces
internal features