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

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But V1 cells are that “simple”• Receptive field types– Simple cells• First-order approximation:– linear spatio-temporal filter (i.e. cross-correlation ofimage with weight function) followed by half-waverectificationR i,j (t) = ( W i x,j y L x,y (t))– Complex cells• roughly modeled as (if!) a linear combination ofsimple cells spanning a small region of space,combining a range of phases in the filters (e.g.sine and cosine)x,y• involved in build-up of translation and scaleinvariance for object recognition?W x,ySine phase--”edge detec<strong>to</strong>r”Cosine phase--”bar detec<strong>to</strong>r”Wednesday, August 29, 12
ming := 0.25` HRandomReal@D - 0.5`L + 0.5`;maxg2 := 0.15` HRandomReal@D - 0.5`L + 0.5`;d1 = TableBIfB i - width22+ j - width8i, 1, width
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 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: Functions of cortical local spatiot
Page 53 and 54: Well-known problems with localedge
Page 57: Population coding and decodingCurre
Page 61: Primary visual cortex (V1)• Summa

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