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

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• edge and bar detectorsvs.V1 cell functions• local quasi-Fourier analysis of image–neuron's receptive field represents basis function–firing rate represents the coefficient–Why?• economical coding of image– coefficients statistically uncorrelated?• analysis of image over a range of spatial scales useful for– edge detection, textures, build-up of invariances,...– integration of information globally?Wednesday, August 29, 12
Well-known problems with localedge detectorsSharp edges around objects are aneveryday visual “illusion”–Local information for an edge is almostalways ambiguous• Lots of “noise” in images• Edge identity is ambiguous– i.e. is the edge due to a change in illumination,shape, depth, material, noise? Some edges are lessimportant than others–Noise vs. smoothingWednesday, August 29, 1253
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 and 50: Functions of cortical local spatiot
Page 51: ming := 0.25` HRandomReal@D - 0.5`L
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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