William Bialek, Winner of the 2013 Swartz Prize for Theoretical and Computational Neuroscience, Society for Neuroscience
"[T]he book goes beyond being a structured material for readers to learn about biophysics; it takes readers on an incredible journey in discovering fascinating ways in which biological phenomena can be viewed and studied. The technical adroitness and more importantly, the unique way of thinking about biological problems, in the reviewer's opinion, makes the book a must-read for any aspiring biophysicists."--Angie Ma, Contemporary Physics
"This book is full of insights that were new to me. It explores myriad questions that are both deep background themes in biology, and also fascinating to physicists. Bialek is a dean of this field, and an inspiring teacher."--Philip Nelson, University of Pennsylvania
"Bialek's excellent book bears the stamp of both his originality and technical prowess. What I look for when I read a book is something unique that I know I won't find anywhere else. Bialek delivers that in spades on a topic of great interest to scientists of all stripes."--Rob Phillips, California Institute of Technology
"This excellent book covers very original ground, providing an authoritative overview of important problems while linking strongly to the original literature. The topics are taken from real biology but build on the standard knowledge that a physics student should have. This indeed represents a great path to train interdisciplinary scientists--without losing the discipline."--Pietro Cicuta, University of Cambridge
"The book is well crafted, linking the historic work of the 'giants', e.g. Helmholtz with his seminal view of vision and hearing, with latest and trendy research, exemplified by the use of information theory in biology."--Robert Endres, Biological Physics Group Newsletter
"[P]hysicists who are seeking an exciting intellectual path through the complexity of biology will deeply appreciate Bialek's clear vision of the big ideas and his expert guidance through their many applications."--Stephen J. Hagen, Physics Today PART I EXPLORING THE PHENOMENA 1. Introduction 3 2. Photon Counting in Vision 17 3. Lessons, Problems, Principles 117 PART II CANDIDATE PRINCIPLES 4. Noise Is Not Negligible 127 5. No Fine Tuning 247 6. Efficient Representation 353 7. Outlook 469 Appendix Some Further Topics 473 Annotated Bibliography 557
Index 625