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Bibliographic Record Display

• Title:Biophysics : searching for principles / William Bialek.
  
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• Author/Creator:Bialek, William S.
  
• Published/Created:Princeton : Princeton University Press, ©2012.
  

• Holdings

  Holdings Record Display

  • Location:WOODWARD LIBRARY stacksWhere is this?
    
  • Call Number: QH505 .B455 2012
    
  • Number of Items:1
    
  • Status:Available
    
  • Links:Donor bookplate
    

   
• Library of Congress Subjects:Biophysics.
  
• Medical Subjects: Biophysical Phenomena.
  
• Genre/Form:Textbooks.
  
• Description:xii, 640 pages : illustrations (some color) ; 27 cm
  
• Summary:Interactions between the fields of physics and biology reach back over a century, and some of the most significant developments in biology--from the discovery of DNA's structure to imaging of the human brain--have involved collaboration across this disciplinary boundary. For a new generation of physicists, the phenomena of life pose exciting challenges to physics itself, and biophysics has emerged as an important subfield of this discipline. Here, William Bialek provides the first graduate-level introduction to biophysics aimed at physics students.
  
• Notes:Includes bibliographical references and index.
  
• ISBN:9780691138916 (hardback : alk. paper)
  0691138915 (hardback : alk. paper)
  
• Contents:Machine generated contents note: pt. I EXPLORING THE PHENOMENA
  1. Introduction
  1.1. About Our Subject
  1.2. About This Book
  2. Photon Counting in Vision
  2.1. First Look
  2.2. Dynamics of Single Molecules
  2.3. Biochemical Amplification
  2.4. First Synapse and Beyond
  2.5. Coda
  3. Lessons, Problems, Principles
  pt. II CANDIDATE PRINCIPLES
  4. Noise Is Not Negligible
  4.1. Fluctuations and Chemical Reactions
  4.2. Motility and Chemotaxis in Bacteria
  4.3. Molecule Counting, More Generally
  4.4. More about Noise in Perception
  4.5. Proofreading and Active Noise Reduction
  4.6. Perspectives
  5. No Fine Tuning
  5.1. Sequence Ensembles
  5.2. Ion Channels and Neuronal Dynamics
  5.3. States of Cells
  5.4. Long Time Scales in Neural Networks
  5.5. Perspectives
  6. Efficient Representation
  6.1. Entropy and Information
  6.2. Noise and Information Flow
  6.3. Does Biology Care about Bits?
  6.4. Optimizing Information Flow
  6.5. Gathering Information and Making Models
  6.6. Perspectives
  7. Outlook
  Appendix Some Further Topics
  A.1. Poisson Processes
  A.2. Correlations, Power Spectra, and All That
  A.3. Diffraction and Biomolecular Structure
  A.4. Electronic Transitions in Large Molecules
  A.5. Kramers Problem
  A.6. Berg and Purcell, Revisited
  A.7. Maximum Entropy
  A.8. Measuring Information Transmission.