[Comp-neuro] New book "Understanding Vision: theory, models, and data"

[Zhaoping Li]

This book "Understanding Vision: theory, models, and data"
is published by Oxford University Press in May 2014 and, by now, it is 
available from
various online sites and shops worldwide.

For more information, go to

http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html

The book's Table of Contents can be viewed at

http://www0.cs.ucl.ac.uk/staff/zhaoping.li/prints/TableOfContents.pdf

Teaching and learning support  for the book (e.g., ppt files for the 
figures in the book) is
also available and  will be updated at 
http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html .

Readership: Computational neuroscientists, visual 
psychologists/cognitive scientists, Visual 
neuroscientists/physiologists/anatomists, Researchers in machine vision 
or computer vision or robot vision

  The book is written in such a way that vision scientists, unfamiliar 
with mathematical details, should be able to conceptually follow the 
theoretical principles and their relationship with physiological, 
anatomical, and psychological observations, without going through the 
more mathematical pages. For those with a physical science background, 
especially those from machine vision, this book serves as an analytical 
introduction to biological vision. It can be used as a textbook or a 
reference book in a vision course, or a computational neuroscience 
course for graduate students or advanced undergraduate students. It is 
also suitable for self-learning by motivated readers.

In addition, for those with a focused interest in just one of the topics 
in the book, it is feasible to read just the chapter on this topic 
without having read or fully comprehended the other chapters. In 
particular, Chapter 2 presents a brief overview of experimental 
observations on biological vision; Chapter 3 is on encoding of visual 
inputs, Chapter 5 is on visual attentional selection driven by sensory 
inputs, and Chapter 6 is on visual perception or decoding.


Please let me know if you need more information.

best wishes,

Li Zhaoping