Understanding Vision: Theory, Models, and Data by Li Zhaoping

by Li Zhaoping

Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.

Genres: Science

Hardcover

First published May 8, 2014

Reviews

[Joe · Rating 4 out of 5]

There’s a lot to unpack with this book, but I found the presentation of the material to be an excellent introduction to biological vision, specifically the experimental results and theoretical developments that match them. I enjoyed exposure to the material and look forward to referencing this book in the future.

[Francis Harvey · Rating 4 out of 5]

Very mathematical and well-structured overview of current research. Science writing, for me, from the cutting edge of research in this area. I couldn't read the whole text, but the section introductions and overview chapters were excellent.

[Graham McLeod · Rating 5 out of 5]

Great book, v educational! Lots of differential equations but thankfully still very informative if even if not closely tracking all the math