Connectionists: New book "Understanding Vision: theory, models, and data"

[Dr Zhaoping Li]

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