[Comp-neuro] New book "Understanding Vision: theory, models, and data"
z.li at cs.ucl.ac.uk
Thu Jul 3 11:33:50 CEST 2014
This book "Understanding Vision: theory, models, and data"
is published by Oxford University Press in May 2014 and, by now, it is
various online sites and shops worldwide.
For more information, go to
The book's Table of Contents can be viewed at
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
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.
More information about the Comp-neuro