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

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V1 small scaleLayer I near skullLayer VI deeperHypercolumnReceptive fieldmaps characterizethe spatial filteringproperties of V1cells. The forms ofW(x,y) are nolonger primarilycircular.Wednesday, August 29, 12
V1 small scale• Basic properties– 6 layers I-VI (“gray matter”)• 100,000 neurons under 1 sq mm of cortex– cortical thickness, ~2 <strong>to</strong> 4mm• Layer IV receives LGN outputs– Apart from those neurons that LGN neurons form synapses with, V1neurons have the following properties (macaque):• spatial frequency selective (i.e. scale or size)• orientation selective• binocularity• motion direction selective• non-oriented cells, wavelength selective– Receptive fields properties modifiable by early visual experience• many computational neural models of self-organizationWednesday, August 29, 12
Page 5 and 6: 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: 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
Page 61: Primary visual cortex (V1)• Summa

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

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