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Sensation and percepption - extensive lecture notes, part test 2!! R130,64   Add to cart

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Sensation and percepption - extensive lecture notes, part test 2!!

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Hi, here are my detailed lecture notes. The notes were supplemented with the slide slides afterwards, I tried to make as many connections as possible and to clearly indicate what the most relevant information is. Good luck!

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  • March 30, 2023
  • 34
  • 2022/2023
  • Class notes
  • Verschillende
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By: philiphouben1 • 1 year ago

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Sensation and
perception
2022-2023

,Motion perception
Lecture 8

Motion sensitivity

Motion common mechanism: early visually guided organism detects motion, but not color, stereo
(depth) and form.

- Not for colour
o Colour blind
o Different for different colours
- Stereo: need for two eyes + feeling of normal stereo perception, but we don’t notice stereo
on different points on the retina
- Form: prosopagnosia, limitation of form processing
 Not the case for motion!

Why so few motion-perception related problems?

- Robust because, many areas are motion sensitive: alle of them are invited somehow
o V1: extract motion
o MT: extract motion
 But others are still responsive to motion -> need a lot of damage to impair motion

Is there one motion system? / one way of motion sensation? No -> answer: how deal different
animals deal with motion?

- Motion processing models: started looking at the retina -> found (first in fruitfly): all in the
retina, while in humans it’s not.

What is motion?

Intuitive: change of an object through space and time -> but not in the brain!

- Example: can’t see an object, only if it moves = objects can be defined by motion
o So, not only the retina, but higher processing needed.
- Example: perceiving left or right movement based on the assumption about the background
- Example: illusory rotation, while there is no rotation.
 Motion isn’t straightforward object processing

Motion after effect: looking at motion -> picture seems to move = an object doesn’t have to move to
perceive motion.

Summary: objects can be based on motion + motion perception is not necessarily based on objects.

Bilocal Correlator: input from one location – which is send to a collector side X – the other box gives
delayed input = given the right speed, the signals will end at x in the same time.

- Velocity = span/delay.
- X requires input from two cells to give an response
o So, it only excites when something moved!
- But: simplified version, critic
o it will also respond to an on-off flicker (when it’s not apparent
during the span!)

,more complex version solves a bit of the problem: reichart detector (but
the other one is sufficient to understand)

- The x needs input two times: both from point 1 & 2 -> two
incoming signals: excitation
- The second x input is inhibitory and needs also two inputs,
becomes important when:
o Inhibition if it doesn’t move (activation of both stimuli at
the same time)
o Inhibition for flicker (on/off)
 Signal cancels out due to inhibition when the stimulus doesn’t
move

Speed selectivity:

- Change the delay: longer delay means that the time between the two collector points is
longer = slower speed
- Change the distance between the two input sizes: change the distance between inputs –
larger distance, but same amount of tine = faster speed
 There is no all-or-nothing principle

Realise: there is also a direction perforation -> wrong direction = not arriving of signals at the same
time. (image)

- Change direction preference: change the delay

Detector failure: signals can’t be matched based on luminance / color anymore -> the failure to see
motion (to the same degree) suggests the bilocal correlator will not be activated at both parts of it’s
receptive field.

Detector problems: moving an object with different spatial frequency over a different spatial
frequency -> this shouldn’t work, because all objects are moving at the same time.

- The ability to thee this kind of motion suggests we use additional mechanisms beyond the
reichart detector -> 2nd Order Motion

First order motion models = based on luminance changing through space and time. BUT 2 nd Order
Motion models are not based on luminance.

Second order:

1. 1st order motion: luminance based (Reichart detector) – example: motion based on motion
2. Temporal texture: texture information to build second order motion effect – no background
temporal information, but the foreground has.
3. Spatial frequency texture: spatial frequency in back- and foreground changes

Motion defined by motion: connect bicolar receptive fields (= idea of model building).

- 1&2 combined = signal (first order)
- 2&3 combined = signal (first order)
 When both signalled, the second order X will be activated.

Are these 1 order and 2 order motion different in the brain?

, - Interocular transfer: look with one eye at red and the other at white -> no green after effect
= lack of interocular transfer (activation in one eye is not transferred to the eye)
o Higher in the hierarchy – more binocular cells: doesn’t matter which eye the
information comes from
 Good pin point if something is early in the visual field (early means interocular transfer)
- Found evidence: more interocular transfer of 2 nd compared to 1st order motion

What do we know about the different areas? Importance of receptive field sizes.

Local motion: every object has it’s own way of moving -> small receptive fields.

- V1
o But receives input from LGN, V2, MT (so it also receives feedback from later visual as
well as non-visual areas)
o Known for it’s orientation selectivity
o About 20% show direction selectivity
- V2-V3
o Many direction selective responses
o Receives much of their input from V1
o Direction selective properties similar to V1
 Tuning properties are much the same, so doing the same thing in exactly the same way. But
they have cells sensitive to motion.

Aperture problem: grating moving behind the foreground – both able to perceive it as different
parts (local motion) or as a whole (global motion).

- Small receptive fields: provide local information
o but local motion signal different from global motion signal
 large receptive fields capture global motion signal
 perceiving as moving in different directions. Because of limited information, the motion stays
ambiguous.
- Small receptive fields donot give you the full information and can cause imbigeous stimulus

Global motion: partly the objects are moving in the same direction

- V1 local motion -> integrating -> enough in the same direction? = global motion!
o By integration causing a good global motion percept
- Medial Temporal (MT), also known as human V5
o Input from Superior Colliculus, Pulvinur and V1-4 (even from the cortex)
o 90% of the cells are direction selective = motion processing cells
o Large receptive fields = integration of small receptive fields
o Associated with the perception of motion (not only processing!)

Complex motion: integrates local and global signals to create more complex versions of motion.

- Expansion & contraction & rotation
- Medial superior temporal area: even larger receptive fields
o Also integration of speed and direction needed

Biological motion (=complex motion): white dots as a representation of soccer players who beat each
other -> only the movement pattern = still visible that it’s biological (human) motion.

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