Understanding Vision: theory, models, and data --- a book (by Oxford University Press) published May 2014,See its amazon.com page or its amazon.co.uk page click here for the publisher's UK webpage (and here for its US webpage) for this book, and also available from various online sites and shops worldwide. It is also available at oxfordscholarshiponline at http://dx.doi.org/10.1093/acprof:oso/9780199564668.001.0001
Table of contents of the book
Sample chapters of the book
Teaching and learning support --- materials are being added to this page as they become available.
Chapter 1: Approach and ScopeYou can read it in the sample chapters of the book Figures in a pptx file
Chapter 2: A Very Brief Introduction of What is Known about Vision ExperimentallyFigures in a pptx file
Chapter 3: The Efficient Coding PrincipleFigures in a pptx fileA video of an introductory lectureSlides from a lecture on this topic in ACCN 2014 summer school
Chapter 4: V1 and Information CodingFigures in a pptx file
Chapter 5: The V1 Hypothesis - Creating a Bottom up Saliency map for Preattentive Selection and Segmentation.You can read it in the sample chapters of the book Figures in a pptx file A video of an introductory lecture This is the video of a presentation (its slides) at the plenary symposium "Visual perception meets computational neuroscience" at ECVP 2013 could be used as a short introduction to this chapter
Chapter 6: Visual Recognition as Decoding.Figures in a pptx fileTwo video lectures of introductory tutorialSlides from a lecture on color discrimination (cf. section 6.3.4 of the book) in Kongsberg Vision Meeting Oct. 2014
Chapter 7: Epilogue .A blog article Are we too "smart" to understand how we see?
This review paper below may be seen as a very abbreviated version of some selected sections in chapters 3-5 of the book :.
L. Zhaoping (2006) Theoretical Understanding of early visual processes by data compression and data selection in Network: Computation in neural systems 17(4):301-334 (2006).