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Axons
Transmit electrical potential down to terminal buttons, fat surrounded = conduction. ranvier= conduction jumps
-70 mv resting membrane potensial
depolarise (na+ in)… if cross trigger zone= burst of action potentials.
Excitatory neurotransmitters
Open NA chanels- depolarises
inhibitory neurotransmitters
cl- in, less likely to depolarise
Action potential reaches terminal button
Neurotansmitters released to synapse which excite/inhibit post synaptic neuron
First visual receptor cells
CONES= colour and detail perception, located in fovea (centre of field)
Second visual receptor cell
Rods= vision in dim light, located in periphery
How Retinal ganglion cells receive input
from a few cones/hundred rods
Reception (body interacts with enviroment)
Rods/cones (photoreceptor cells) absorb physical light energy
Transduction (physical energy converted to form nervous system understands)
Photoreceptor cells turn absorbed light energy into electrochemical patterns and nervous impulses that travel along neurons via optic nerve
Coding- Mapping where specific neural signals represent specific physical properties
brain establishes one to one correspondence between incoming neural firing pattern and the visual Left visual of the original light stimulus
Left visual field processed by?
Right hemisphere
Parvocellular pathway
Processes colour, fine sharp input from cones
Magnocellular
Processes movement + rapid changed in environment info from rods
Vertical axis measuring time in milliseconds (looking at how visual info flows upwards through the diff visual areas of the brain over a tiny fraction of a second)
regions lower (LGN) response 30 ms after light hits eye. Regions higher (IT) 100 ms— brain understands what object is
Box size when trackingg route of visual information flowing through diff visual areas of brain
Size indicated how much surface areas that specific part of brain takes up, large= massive amount of brain V1,V2 dedicated to early visual processing
arrows show direction, what about the %?
% show proportion of nerves fibres taking that exact route (where most electrical data flows)
Step 1 how visual signals travel from eyes to brains thinking centres
Eye / Retina. light hits photoreceptors passes thru bipolar cells and reaches retinal ganglion cells pack up forming optic nerve , leaves eyeball
2
LGN (Lateral geniculate Nucleus)- ganglion cell fibres leave eye, cross over synapse in thalamus
3
striate cortex- V1 primary sorting hub at back of head4
4
Extrastriate cortex- high level processing v2,v3,v4,v5
Zeki functional specialisation theory
Visual brain processes diff attributes of visual scene in separate regions of cortex
V1 and V2
basic visual processing
V3/ V4A
Form perception ( of moving stimuli especially)
v4
Colour and shape perception
V5/ Mt in humans
Motion perception
LOC
Object perception
OFA
Face perception
FFA
Face perception
imge


Cells in each area responding seleticelt to four stimulus feautures
Each columns represents a feature of an object, height= % of cells that care about that feature
Orientation, V1,V3,V2 are high meaning
Early brain areas highly specialised at detecting the basic angled, lines and borders of objectsM
MT high up 90%
Direction= proves MT area is brains motion tracker
Depth
Shows V2 MT help calculate distance between eyes
V4 an VP highest in column?
V4 heavily specialised in processing colds and hues
Positves of Zeki functional speculation theory
Highly ambitious+influential way to explain how brain divides
Bad Zeki
Real brains messier areas are less specialised than Zeki thought.
Leaved binding problem unresolved.
binding problem
Zekis thing Fails to explain how the brain stitches separate features (like color from V4 and motion from MT) back together into dingle object so how is visual info combined and integrated?,
Binding by synchrony hypothesis
Neurons that code different dimensions start to oscillate in synchrony, buts its unclear how and why such synchrony might occur as precise synchrony is implausible … So if one module codes shape, and other codes color, how do we bind them to get representation?
perception action model
Brain processes visual info through two distinct pathways
Ventral stream What pathway Connects V4,LOC and IT
Vision for perception- regognize objects tells mind what. an object is, Allocentric (objects are in relation to each other), Charecteristics (info lasts in memory) = sustained representation
intention of parvocellular pathway
The dorsal stream How/where path CONNECTS V5
Purpose= vision for action so provide real time spatial info needed to physically interact with enviroment (like reaching to grab coffee cup)=
Reference frame- body centred so maps where an object is relative to own body guiding limbs
Characteristics- relies on shortt lived representations
extension magnocellular pathway
Optic ataxia/ Perenin & Vighetto (1988)
Vision for perception is working (✅), but Vision for action is broken
James et al. (2003) / Visual Form Agnosia
Vision for perception is broken (❌), but Vision for action is working
Concept
Double dissociation- brain damage can destroy one visual path while leaving other normal
Trick
Optic Ataxia: Think of an Attack (Ataxia). You can see the target fine, but your hand's aim is completely broken.
Visual Agnosia: "Agnosia" sounds like Ag-NO-sis (Diagnosis). You cannot diagnose or recognize what the shape is, but your hands still know how to hold it.
Visual illusions- both vertical lines are same length findings
Illusion size was only 5.5% so in terms of vision for perception, illusion size jumped conscious fooled so visual illusions mostly affected our perception system not action system
visual illusions. on the circles where both middle ones are the same size
Conscious eyes are fooled by the context but your motor system ignores it to guide accurate movements
Complexities of grasping movements - it requires ventral and dorsal stream when..
Information from memory to guide u how to hold stuff
Conceptual Knowledge; when u need to undertsand what the object is to hold it correctly
Perception action model evaluation: Very influential theoretical approach
Major influence on psychology and how scientist viewed vision
Two systems less independent and more interactive than assumed theoretically
2 systems aren’t as independent as thought
Patients with optic ataxia and visual form agnosia have problems with BOTH vision-for-perception and vision-for-action: no clear double dissociation
Double dissociation= one impaired other intact= so harder to argue they’re operate
Visual form agnosia
A person struggles to recognise objects by sight, even though some basic visual abilities are intact.
Optic ataxia
A person struggles to use visual information to guide their hand movements accurately.
Findings with visual illusion are variable
Two dorsal systems (from perception action model evaluation)
Dorso dorsal systems used to grasp object rapidly , venture dorsal system using memorised object knowledge to use object appropriately
Row 1 related ti perception and actins
traditional view where vision creates a conscious perception which then directly triggers physical action
Row 2
Vision splits into 2 independent systems, ventral for perception, dorsal for action
Row 3
An updated framework showing that the perceptual and action systems are not completely isolated; they continuously interact and share information during processing.
Row 4
Final processing in the motor cortex is preceded by complex interactions between dorsal and ventral pathways
Colour Perception, Hue
Colour itself, property distinguishes red from yellow or blue
Brightness
The perceived intensity of light
Saturation
Dictates weather colour is vivid or pale- influenced by amount of white present
Dual process theory
A theory combining trichromacy and opponent-process ideas, stating that signals from three cone classes feed into three neural channels to determine perceived object colours.t
three Cone classes
The photoreceptors responsible for early-stage colour processing: Red (long-wavelength), Green(medium-wavelength), and Blue (short-wavelength).
three opponent channels
Neural pathways that process cone inputs by subtraction or addition: Red-Green, Blue-Yellow, and Light-Dark(achromatic).
image

Colour constancy
Perceived colour stays same even if changes in wavelength/light source
Chromatic adaptation
Sensitivity ti illuminant of any given colour decreases over time
Retinex theory
We compare light reflected from surface against light reflected from adjacent surfaces to c
Colour constancy evaluation artificial visual environments
focusses on simple artificial setups for it over natural complex world
Objective vs subjective judgement colour
Observers show less constancy when making objective judgements ("what colour is it?") than when making subjective ones ("what colour does it look like?").
individual differences in colour constancy
Large variations in performance between different human observers that remain poorly understood by researchers.
Monocular cues- Linear perspective
Brain sees two railways and they merge into one — parallel lines appear to converge.
Texture gradient monocular cues
A depth cue where details become denser and less distinct as a textured surface slants or stretches away into the distance.
(like pebbles on floor)
Monocular cues Interposition
An overlapping cue where a nearer object blocks the view of a farther object, showing which one is closer. (Coffee cup blocks laptop screen so brain knows its closer)
Monocues familiar size
sing our prior knowledge of an object's actual size to accurately gauge how far away it is.
Blur monocular
An ambiguous depth cue where objects appear fuzzy, which can signify either that they are very far away or located in our peripheral vision.
Monocular - Motion parallax
A dynamic depth cue where, as you move, closer objects appear to move faster and farther across your retina than distant objects.
(Looking out train window fence goes quickly mountains go slow)
Binocular cue
Stereopsis
What does stereopsis enhance
Depth perception
Stereopsis based on?
Sllight diference / disparity between two retinal images ppl w lazy eye
Three ways information from different cues combined
Additivity (info from all cues combined)
Selection(info from single cue use with info from other cues ignored)
Weighting of cues (more reliable cues)
Depth cues
Visual signals your eyes and brain collect from your surroundings to determine how far away objects are. these split into two cues- binocular both eyes and monocular cues work with one eye
Combining information from different
cues in depth perception
breaks down how your brain calculates depth when different visual signals (cues) give slightly different information.
Small Conflicts vs. Large Conflicts
Small= addivity and weighting (if cues are only slightly off brain combines them (addivity) Gives higher status (weighting) to trustworthy cueu
Large- if two cues give unrealistic stories brain realises can’t average them so choses one single cue
Depth perception is close to optimal
Brain is mathematically efficient at combining these signals to give most accurate possible view of world
Global assessment
IRL surroundings are rich with information instead of treating every depth cue like an isolated math problem and trying to glue them together later brain takes a step back and judges overall structural layout of environment all at once
Object size measured in degrees of visual angle
if objects are nearer they take up more degrees of visual angle like moving hand nearer and farther from eye- u see it occludes more or less background but if we move back we reach size constancy
Size constancy
example of perceptual constancy (perceive an object as remaining the same physical size regardless of changes in its distance from the observer.izes
size distance invariance hypothetical
Perceived size is proportional to retinal size and perceived distance
size distance what do we have
retinal size, we can infer distance from the depth cues
We can infer distance from the depth cues, two objects are the same distance away one has larger retinal size.
AMES ROOM back wall sloped but perceived distance on the left and right corner is the same because most depth cues are blocked, if u had depth cues the ppl wold look the same size and the one on the left would look nearer
Familiar size
size perception of objects depends on memory of their familiar size . Judgements are significantly more accurate for invariantt size objects than variable size objects
Invariant size- when u look at an objects that never changes size in the real world, brain uses mental template and accuracy stays perfect in invariant size

Variable size graph
if an object can come in any size - memory template can’t help as much, brain relies on environment so judgement is lesss accurate
unfamiliar objects graph - lowest accuracy
without a memory trmplatte to guide u, size constancy suffers most especiallyy at longer distances
Blindsight: perception without
awareness—— paradox
People with blindsight are functionally blind in parts of their visual field due to brain damage (V1), yet if you throw a ball at them or ask them to point to a light, they can catch or locate it accurately without "seeing" it
Type-1 vs. Type-2 Blindsight:
type 1- patient not conscious experience of visual stimuli, subconscious guesses that happens to be correct. “Swear I can’t see anything but if I have to guess the object is moving to left) and there right
Type 2- Patient has some residual awareness, might feel a vague change in enivroment without seeing an object “I still can’t see a picture of anything but I have a feeling that x”
Blindsight patients
often show evidence of degraded conscious vision when sensitive measured of conscious awareness are used, reorganisation of brain connectivity in blindsight patients explains many findings”
what is blindsight
Person damages to primary visual cortex (V1) part of brain that makes conscious visual , coz its damaged patients are cliciallt blind in parts of their vision like show them black apple they’ll get it right by chance