TABLE OF CONTENTS: Acknowledgments ix PART I EXPLORING THE PHENOMENA 1. Introduction 3 - 1.1 About Our Subject 3
- 1.2 About This Book 11
2. Photon Counting in Vision 17 - 2.1 A First Look 17
- 2.2 Dynamics of Single Molecules 51
- 2.3 Biochemical Amplification 68
- 2.4 The First Synapse and Beyond 97
- 2.5 Coda 115
3. Lessons, Problems, Principles 117 PART II CANDIDATE PRINCIPLES 4. Noise Is Not Negligible 127 - 4.1 Fluctuations and Chemical Reactions 127
- 4.2 Motility and Chemotaxis in Bacteria 149
- 4.3 Molecule Counting, More Generally 172
- 4.4 More about Noise in Perception 192
- 4.5 Proofreading and Active Noise Reduction 218
- 4.6 Perspectives 245
5. No Fine Tuning 247 - 5.1 Sequence Ensembles 248
- 5.2 Ion Channels and Neuronal Dynamics 279
- 5.3 The States of Cells 299
- 5.4 Long Time Scales in Neural Networks 329
- 5.5 Perspectives 349
6. Efficient Representation 353 - 6.1 Entropy and Information 354
- 6.2 Noise and Information Flow 369
- 6.3 Does Biology Care about Bits? 395
- 6.4 Optimizing Information Flow 421
- 6.5 Gathering Information and Making Models 449
- 6.6 Perspectives 467
7. Outlook 469 Appendix Some Further Topics 473 - A.1 Poisson Processes 473
- A.2 Correlations, Power Spectra, and All That 484
- A.3 Diffraction and Biomolecular Structure 495
- A.4 Electronic Transitions in Large Molecules 503
- A.5 The Kramers Problem 512
- A.6 Berg and Purcell, Revisited 521
- A.7 Maximum Entropy 533
- A.8 Measuring Information Transmission 545
Annotated Bibliography 557
Index 625 Return to Book Description File created: 4/25/2013 | 
