Vision: From Eye to Brain (Chap 3) Lecture 7 Jonathan Pillow - - PowerPoint PPT Presentation

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Vision: From Eye to Brain (Chap 3) Lecture 7 Jonathan Pillow - - PowerPoint PPT Presentation

Vision: From Eye to Brain (Chap 3) Lecture 7 Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Princeton University, Fall 2017 early visual pathway eye eye optic nerve optic chiasm optic tract lateral geniculate


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Vision: From Eye to Brain (Chap 3)

Lecture 7 Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) 
 Princeton University, Fall 2017

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early visual pathway

  • ptic nerve
  • ptic chiasm
  • ptic tract

lateral geniculate nucleus (LGN)

  • ptic radiations

primary visual cortex (“V1”)

thalamus: cortex: (aka “striate cortex”)

right visual world left visual world

eye eye

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  • Acuity: measure of finest visual detail that

can be resolved

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Measuring Visual Acuity Snellen E test

  • Herman Snellen invented this method for designating visual acuity

in 1862

  • Notice that the strokes on the E form a small grating pattern
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Visual Acuity

  • Acuity: The smallest spatial detail that can be

resolved

  • in the lab
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Acuity

eye doctor: 20 / 20 (your distance / avg person’s distance) for
 letter identification vision scientist: visual angle of one cycle of the finest grating you can see

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  • striped pattern is a “sine

wave grating”

  • visual system “samples” the

grating at cone locations

explaining acuity

stimulus on retina percept

acuity limit: 1’ of arc cone spacing in fovea: 0.5’ of arc

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more “channels”: spatial frequency channels

spatial frequency: the number of cycles of a grating per unit

  • f visual angle (usually specified in degrees)
  • think of it as: # of bars per unit length

low frequency intermediate high frequency

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Why sine gratings?

  • Provide useful decomposition of images

Technical term: Fourier decomposition (But the real reason: some neuroscientists read a math book and decided it would be cool to apply some fancy math to vision science!)

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  • mathematical decomposition of an image (or sound)

into sine waves.

Fourier decomposition

“image” 1 sine wave reconstruction: 2 sine waves 3 sine waves 4 sine waves

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“Fourier Decomposition” theory of V1

  • Summation of two spatial sine waves
  • any pattern can be broken down

into a sum of sine waves claim: role of V1 is to do “Fourier decomposition”, i.e., break images down into a sum of sine waves

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  • mathematical decomposition of an image (or sound)

into sine waves.

Fourier decomposition

Original image High Frequencies Low Frequencies

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  • riginal

low medium high

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Retinal Ganglion Cells: tuned to spatial frequency

Response of a ganglion cell to sine gratings of different frequencies

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The contrast sensitivity function

Human contrast sensitivity illustration of this sensitivity

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Image Illustrating Spatial Frequency Channels

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Image Illustrating Spatial Frequency Channels

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If it is hard to tell who this famous person is, try squinting or defocusing “Lincoln illusion” Harmon & Jules 1973

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“Gala Contemplating the Mediterranean Sea, which at 30 meters becomes the portrait of Abraham Lincoln (Homage to Rothko)”

  • Salvador Dali (1976)
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  • Salvador Dali (1976)

“Gala Contemplating the Mediterranean Sea, which at 30 meters becomes the portrait of Abraham Lincoln (Homage to Rothko)”

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Ipsilateral: Referring to the same side of the body Contralateral: Referring to the

  • pposite side of the

body

lateral geniculate nucleus (LGN): one on each side of the brain

  • this is where axons of retinal ganglion cells synapse

Organization:

  • represents contralateral

visual field

  • segregated into eye-

specific layers

  • segregated into M and P

layers

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Primary Visual Cortex

  • Striate cortex: known as primary visual cortex, or

V1

  • “Primary visual cortex” = first place in cortex where

visual information is processed
 
 (Previous two stages: retina and LGN are pre-cortical)

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Receptive Fields: monocular vs. binocular

  • LGN cells: responds to one

eye or the other, never both

  • V1 cells: can respond to input from both eyes


(but V1 neurons still tend to have a preferred eye - they spike more to input from one eye)

V1 LGN

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Topography: mapping of objects in space onto the visual cortex

  • cortical magnification
  • unequal representation of

fovea vs. periphery in cortex

  • a misnomer, because

“magnification” already present in retina

  • contralateral representation
  • each visual field (L/R) represented in
  • pposite hemisphere

(that is, the amount of space in cortex for each part of the visual field is given by the number of fibers coming in from LGN)