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 Scope

You 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 Experimentally

Figures in a pptx file

Chapter 3: The Efficient Coding Principle

Figures in a pptx file

A video of an introductory lecture

Slides from a lecture on this topic in ACCN 2014 summer school

Chapter 4: V1 and Information Coding

Figures 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 file

Slides 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).