Understanding Vision: Theory, Models, and Data by Li Zhaoping

By Li Zhaoping

Whereas the sphere of imaginative and prescient technology has grown considerably long ago twenty years, there were few accomplished books that confirmed readers easy methods to undertake a computional method of realizing visible belief, besides the underlying mechanisms within the brain.

Understanding Vision explains the computational rules and types of organic visible processing, and specifically, of primate imaginative and prescient. The e-book is written in this sort of method that imaginative and prescient scientists, unexpected with mathematical info, may be in a position to conceptually keep on with the theoretical ideas and their dating with physiological, anatomical, and mental observations, with no facing the extra mathematical pages. For people with a actual technology heritage, in particular these from computer imaginative and prescient, this ebook serves as an analytical creation to organic imaginative and prescient. it may be used as a textbook or a reference e-book in a imaginative and prescient path, or a computational neuroscience direction for graduate scholars or complicated undergraduate scholars. it's also compatible for self-learning by means of inspired readers.

in addition, for people with a concentrated curiosity in precisely one of many subject matters within the publication, it really is possible to learn simply the bankruptcy in this subject with no need learn or absolutely comprehended the opposite chapters. particularly, bankruptcy 2 provides a short evaluation of experimental observations on organic imaginative and prescient; bankruptcy three is on encoding of visible inputs, bankruptcy five is on visible attentional choice pushed by way of sensory inputs, and bankruptcy 6 is on visible belief or deciphering.

Including many examples that essentially illustrate the appliance of computational ideas to experimental observations, Understanding Vision is efficacious for college kids and researchers in computational neuroscience, imaginative and prescient technology, desktop and computing device imaginative and prescient, in addition to physicists attracted to visible processes.

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Shown are three temporal traces of intracellular potentials in response to three different input patterns. The center input pattern in A is a disk of one degree diameter. Adapted with permission from Wiesel, T. , Recording Inhibition and Excitation in the Cat’s Retinal Ganglion Cells with Intracellular Electrodes, Nature, 183 (4656): 264–265, Fig. com/. t O(t) = dxSx (x) −∞ t = dxSx (x) 0 dt′ K(x, t − t′ )H(t′ ) dt′ K(x, t − t′ ). 17) At t > 0, soon after the onset time t′ = 0, the response O(t) depends sensitively on time t.

The bottom half of this figure is a zoomed-up view of a patch of the retina: visual input light passes through the retinal ganglion cells and other cell layers before hitting the rods and cones. Adapted with permission from Streilein, J. , Ocular immune privilege: therapeutic opportunities from an experiment of nature, Nature Reviews Immunology, 3: 879–889, Fig. com/, and from Dyer, M. A. and Cepko, C. , Regulating proliferation during retinal development, Nature Reviews Immunology, 2: 333– 342, Fig.

Third, retinal ganglion cells can respond to input modulations at temporal frequencies which are too high to be perceived by humans. Retina A: Density of photoreceptors (×103 /mm2 ) versus eccentricity | 37 200 Rod density Cone density Data from Osterberg 1935 150 100 50 ← Optic disk 0 80 60 40 Temporal eccentricity 20 0 Fovea 20 40 60 80 Nasal eccentricity B: Visual acuity illustrated in an eye chart Fig. 17: A: The density of cones and rods in the human retina versus visual angle from the center of vision.

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