Lecture 1: Introduction to Biological Vision - Vision Research ...

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Advantages?• Optimal information integration requiresrepresentation of uncertainty–Does biological vision integrate local featureinformation based on uncertainty?• Indirect psychophysical evidence from local motionintegration in humans, cf. Weiss, Y., Simoncelli, E. P., &Adelson, E. H. (2002). Motion illusions as optimalpercepts. Nature Neuroscience, 5(6), 598–604.Wednesday, August 29, 1260
Primary visual cortex (V1)• Summary of overall functions:–Local coding, economical, emphasizes changes(edges)–binocular processing• front-end for stereopsis, eye of origin–early motion detection -- but only local, and thusambiguous–front-end for linking information likely <strong>to</strong> belong <strong>to</strong>single scene cause, e.g. single surface region orobject boundary (jobs of vision)Wednesday, August 29, 12
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Lecture 1• Overview of primate vi
Page 7 and 8: The computational problemLyxYour br
Page 9 and 10: Visual neural architectureComplex s
Page 12: Measurements of vision• Image mea
Page 17 and 18: Wednesday, August 29, 12Eyeball: re
Page 19 and 20: Eyeball & muscles• Form & functio
Page 21 and 22: Wednesday, August 29, 12Optics
Page 23 and 24: • Why aren’t the optics better?
Page 25 and 26: Overview of human/primate visualsys
Page 27 and 28: • Functions of the retina- discre
Page 31 and 32: Pathwaysout of the eye“Area 17”
Page 33 and 34: Pathways from eye tocortex• Retin
Page 37 and 38: Primary visual cortex (V1)Anterioro
Page 39 and 40: V1 large scale organization:Retinot
Page 41 and 42: V1 small scale• Basic properties-
Page 43 and 44: V1 small scale• Basic properties-
Page 45 and 46: Contrast sensitivity of some V1neur
Page 47 and 48: Functions of localspatial filtering
Page 49 and 50: Functions of cortical local spatiot
Page 51 and 52: ming := 0.25` HRandomReal@D - 0.5`L
Page 53 and 54: Well-known problems with localedge
Page 57: Population coding and decodingCurre
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Lecture 1: Introduction to Biological Vision - Vision Research ...

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