Last updated 20 May 2009
Links
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download a pdf version click here.
References
to the physics e-print archive http://arxiv.org are given where available. For
preprints this is a primary reference; for other work there may be slight
differences between the e-print and conventional print versions of the paper.
Since almost all of my papers are now deposited on the archive before journal
publication, more recent papers are ordered by the date of the archive
submission.
131. Optimizing information flow in small
genetic networks. I. G Tkacik, A Walczak & W Bialek,
arXiv.org:0903.4491 [q–bio.MN] (2008).
130. Thermodynamics of natural images. GJ Stephens, T Mora, G Tkacik & W
Bialek, arXiv.org:0806.2694 [q–bio.NC] (2008).
129. The neural basis for combinatorial coding
in a cortical population response. LC
Osbone, SE Palmer, SG Lisberger & W Bialek, J Neurosci 28, 13522–13531 (2008).
A preliminary version is Combinatorial coding in neural populations.
arXiv.org:0803.3837 [q–bio.NC] (2008).
128. Can we fit all of the data? W Bialek, T Gregor, DW Tank & EF
Wieschaus, Cell
132, 17-18
(2008).
127. Toward a statistical mechanics of
four letter words. GJ Stephens
& W Bialek, arXiv.org:0801.0253 [q–bio.NC] (2008).
126. Rediscovering the power of pairwise
interactions. W Bialek & R
Ranganathan, arXiv.org:0712.4397 [q–bio.QM] (2007).
125. Cell biology: Networks, regulation,
pathways. G Tkacik & W
Bialek, to be published in Encyclopedia of Complexity and Systems Science, RA Meyers, ed
(Springer-Verlag, Berlin, 2008); arXiv.org:0712.4385 [q–bio.MN] (2007).
124. Information
and fitness. SF Taylor, N
Tishby & W Bialek, arXiv.org:0712.4382 [q–bio.PE] (2007).
123. Efficient representation as a design
principles for neural coding and computation. W Bialek, RR de Ruyter van
Steveninck & N Tishby, arXiv.org:0712.4381 [q–bio.NC] (2007).
A preliminary account appears in
the Proceedings of the International Symposium on Information Theory 2006, but
this seems to be available only on CDs distributed to meeting attendees (!).
122. Faster solutions of the inverse pairwise
Ising problem. T Broderick, M
Dudik, G Tkacik, RE Schapire & W Bialek, arXiv:0712.2437 [q–bio.QM]
(2007).
121. Diffusion, dimensionality and noise in
transcriptional regulation. G Tkacik & W Bialek, Phys Rev E 79, 051901 (2009); arXiv:0712.1852 [q–bio.MN] (2007).
See also the accompanying
commentary by R Metzler, Physics 2, 36 (2009).
120. Information capacity of genetic regulatory
elements. G Tkacik, CG Callan Jr & W Bialek, Phys Rev E 78, 011910 (2008); arXiv:0709.4209
[q–bio.MN] (2007).
119. Dimensionality and dynamics in the
behavior of C. elegans. GJ
Stephens, B Johnson-Kerner, W Bialek & WS Ryu, PLoS Comp Bio 4, e1000028 (2008); arXiv:0705:1548
[q–bio.OT] (2007).
118. Information flow and optimization in
transcriptional regulation. G
Tkacik, CG Callan Jr & W Bialek, Proc NatŐl Acad Sci (USA) 105, 12265-12270 (2008);
arXiv:0705.0313 [q–bio.MN] (2007).
117. Neural decision boundaries for maximal
information transmission. T
Sharpee & W Bialek, PLoS One 2, e646 (2007); q–bio.NC/0703046 (2007).
116. The role of input noise in transcriptional
regulation. G Tkacik, T Gregor & W Bialek, PLoS One 3, e2774 (2008);
q–bio.MN/0701002 (2007).
115. Neural coding of a natural stimulus
ensemble: Information at sub-millisecond resolution. I Nemenman, GD Lewen,
W Bialek & RR de Ruyter van Steveninck, PLoS Comp Bio 4, e1000025 (2008); q–bio.NC/0612050 (2006).
114. Time course of precision in smooth pursuit
eye movements of monkeys. LC Osborne, SS Hohl, W Bialek & SG Lisberger,
J Neurosci 27, 2987-2998 (2007).
113. Ising models for networks of real neurons.
G Tkacik, E Schneidman, MJ Berry II & W Bialek, q–bio.NC/0611072
(2006).
112. Probing the limits to positional information. T Gregor, DW Tank, EF Wieschaus & W Bialek, Cell 130, 153-164 (2007).
See also the accompanying
commentary on this and the next article by MC Gibson, Cell 130, 14-15 (2007).
111. Stability and nuclear dynamics of the Bicoid
morphogen gradient. T Gregor, EF
Wieschaus, AP McGregor, W Bialek & DW Tank, Cell 130, 141-152 (2007).
110. Cooperativity, sensitivity and noise in
biochemical signaling. W Bialek
& S Setayeshgar, Phys Rev Lett 100, 258101 (2008); q–bio.MN/0601001 (2006).
109. Weak pairwise correlations imply strongly
correlated network states in a neural population. E Schneidman, MJ Berry II, R Segev & W Bialek, Nature 440, 1007-1012 (2006);
q–bio.NC/0512013 (2005).
108. Should you believe that this coin is fair? W Bialek,
q–bio.NC/0508044 (2005).
107. Synergy from silence in a combinatorial neural
code. E Schneidman, JL Puchalla, RA Harris, W
Bialek & MJ Berry II, q–bio.NC/0607017 (2006).
106. Diffusion and scaling during early embryonic
pattern formation. T Gregor, W Bialek,
RR de Ruyter van Steveninck, DW Tank & EF Wieschaus, Proc NatŐl Acad Sci
(USA) 102, 18403-18407 (2005).
105. Information based clustering. N Slonim, GS Atwal, G Tkacik
& W Bialek, Proc NatŐl Acad Sci (USA) 102, 18297-18302 (2005); q–bio.QM/0511043. See also Supplementary material,
q–bio.QM/0511042 (2005).
104. A sensory source for motor variation. LC Osborne, SG Lisberger & W Bialek, Nature 437, 412-416 (2005).
103. Features and dimensions: Motion estimation in fly vision. W Bialek & RR de Ruyter
van Steveninck, q–bio/0505003 (2005).
102. Estimating
mutual information and multi–information in large networks. N Slonim, GS Atwal, G Tkacik & W Bialek, cs.IT/0502017
(2005).
101. Physical
limits to biochemical signaling. W Bialek & S Setayeshgar, Proc NatŐl Acad Sci
(USA) 102, 10040-10045 (2005);
physics/0301001 (2003).
100. How
many clusters? An information theoretic perspective. S Still & W Bialek, Neural
Comp 16, 2483-2506 (2004); physics/0301011 (2003).
99. Entropy
and information in neural spike trains:
Progress on the sampling problem. I Nemenman, W Bialek & R de Ruyter van Steveninck, Phys
Rev E 69, 056111 (2004); physics/0306063
(2003).
98. Time
course of information about motion
direction in visual area MT of macaque monkeys. LC Osborne, W Bialek & SG Lisberger, J Neurosci 24, 3210-3222 (2004).
97.
Geometric
clustering using the information bottleneck method. S Still, W Bialek & L Bottou, in Advances in Neural
Information Processing 16, S Thrun, L Saul & B Schlkopf, eds, pp 1165-1172 (MIT Press, Cambridge, 2004).
96. Optimal
manifold representation of
data: An information theoretic perspective. D Chigirev & W Bialek, in Advances
in Neural Information Processing 16, S Thrun, L Saul & B Schlkopf, eds, pp 161-168
(MIT Press, Cambridge, 2004).
95. Ambiguous model learning made unambiguous
with 1/f priors. GS Atwal
& W Bialek, in Advances in
Neural Information Processing 16, S Thrun,
L Saul & B Schlkopf, eds, pp 1205-1212 (MIT Press, Cambridge, 2004).
94. Introductory science and mathematics
education for 21st century biologists. W Bialek & D Botstein, Science 308, 788-790 (2004).
93. Analyzing neural
responses to natural signals: Maximally informative dimensions. T Sharpee, NC Rust & W Bialek, Neural Comp 16, 223-250 (2004); physics/0212110
(2002).
For a preliminary
account see Maximally informative
dimensions: Analyzing neural responses to natural signals, in Advances
in Neural Information Processing 15, S Becker, S Thrun & K Obermayer, eds, pp 261-268
(MIT Press, Cambridge, 2003); physics/0208057 (2002).
92. Spike sorting in the
frequency domain with overlap detection. D Rinberg, W Bialek, H
Davidowitz & N Tishby,
physics/0306056 (2003).
91. Synergy,
redundancy, and independence in population codes. E Schneidman, W Bialek
& MJ Berry II, J Neurosci 23, 11539-11553 (2003).
90. Network
information and connected correlations. E Schneidman, S Still, MJ Berry II
& W Bialek, Phys Rev Lett 91, 238701 (2003); physics/0307072
(2003).
89. The information
content of receptive fields. TL Adelman, W Bialek & RM Olberg, Neuron
40, 822-833 (2003).
88. Computation in
single neurons: Hodgkin and Huxley
revisited. B Agera y Arcas, AL Fairhall, & W Bialek, Neural Comp 15, 1715-1749 (2003);
physics/0212113 (2002).
For a preliminary account see What can a single neuron
compute?, in Advances in Neural Information Processing 13, TK Leen, TG Dietterich & V
Tresp, eds, pp 75-81 (MIT Press, Cambridge, 2001).
87. An information
theoretic approach to the functional classification of neurons. E
Schneidman, W Bialek, & MJ Berry II, in Advances in Neural Information
Processing 15,
S Becker, S Thrun & K Obermayer, eds, pp 197-204 (MIT Press, Cambridge,
2003); physics/0212114 (2002).
86. Adaptive spike coding. A Fairhall & W Bialek, in The
Handbook of Brain Theory and Neural Networks, Second Edition, MA Arbib, ed, pp 90-94 (MIT
Press, Cambridge, 2002).
85. Statistical
properties of spike trains: Universal and stimulus-dependent aspects. N
Brenner, O Agam, W Bialek, & RR de Ruyter van Steveninck, Phys Rev E 66, 031907 (2002);
physics/9902061 (1999).
For a
preliminary account see Universal
statistical behavior of neural spike trains, Phys Rev Lett. 81, 4000-4003 (1998);
physics/9801026 (1998).
84. Thinking about the brain.
W Bialek, in Physics of
Biomolecules and Cells: Les Houches Session LXXV, H Flyvbjerg, F Jlicher, P
Ormos, & F David, eds, pp 485-577 (EDP Sciences, Les Ulis; Springer-Verlag,
Berlin, 2002); physics/0205030 (2002).
83. Entropy and
inference, revisited. I Nemenman, F Shafee, & W Bialek, in Advances
in Neural Information Processing 14, TG Dietterich, S Becker & Z Ghahramani, eds, pp
471-478 (MIT Press, Cambridge, 2002); physics/0108025 (2001).
82. Spike timing and the
coding of naturalistic sounds in a central auditory area of songbirds. BD
Wright, K Sen, W Bialek, & AJ Doupe,
in Advances in Neural Information Processing 14, TG Dietterich, S Becker & Z Ghahramani, eds, pp
309-316 (MIT Press, Cambridge, 2002); physics/0201027 (2002).
81. Timing and
counting precision in the blowfly visual system. R de Ruyter van Steveninck
& W Bialek, in Models of
Neural Networks IV: Early
Vision and Attention, JL van Hemmen, J Cowan & E
Domany, eds, pp 313-365 (Springer-Verlag, Berlin, 2002); physics/0202014
(2002).
80. Occam factors
and model-independent Bayesian learning of continuous distributions. I
Nemenman & W Bialek, Phys Rev E 65, 026137 (2002); cond mat/0009165
(2000).
For a preliminary account see Learning continuous
distributions: Simulations with a field theoretic prior, in Advances in
Neural Information Processing 13, TK Leen, TG Dietterich & V Tresp, eds, pp 287-293
(MIT Press, Cambridge, 2001).
79. Complexity through
nonextensivity. W Bialek, I Nemenman & N Tishby, Physica A 302, 89-99 (2001); physics/0103076
(2001).
78. Efficiency and
ambiguity in an adaptive neural code. AL Fairhall, GD Lewen, W Bialek & RR de Ruyter van Steveninck, Nature 412, 787-792 (2001).
See also the accompanying commentary by P. Reinagel, Nature 412, 776-777 (2001). For a preliminary account see Multiple timescales of
adaptation in a neural code, in Advances in Neural Information Processing
13, TK Leen, TG
Dietterich & V Tresp, eds, pp 124-130 (MIT Press, Cambridge, 2001).
77. Neural coding of
naturalistic motion stimuli. GD
Lewen, W Bialek & RR de Ruyter van Steveninck, Network 12, 317-329 (2001); physics/0103088 (2001).
76. Predictability, complexity
and learning. W Bialek, I Nemenman & N Tishby, Neural Comp 13, 2409-2463 (2001); physics/0007070 (2000).
For a preliminary account see Predictive information, W Bialek & N Tishby;
cond-mat/9902341.
75. Universality and
individuality in a neural code.
E Schneidman, N
Brenner, N Tishby, RR de Ruyter
van Steveninck & W Bialek, in Advances
in Neural Information Processing 13, TK Leen, TG Dietterich & V Tresp,eds, pp 159-165
(MIT Press, Cambridge, 2001); physics/0005043 (2000).
74. Stability and noise in
biochemical switches. W Bialek, in Advances in Neural Information
Processing 13, TK
Leen, TG Dietterich & V Tresp, eds, pp 103-109 (MIT Press, Cambridge,
2001); cond-mat/0005235 (2000).
73. Real time encoding of
motion: Answerable questions and questionable answers from the fly's visual
system. R de Ruyter van
Steveninck, A Borst & W Bialek, in Processing Visual Motion in the Real
World: A Survey of Computational, Neural and Ecological Constraints, JM Zanker & J Zeil, eds, pp
279-306 (Springer-Verlag, Berlin, 2001); physics/0004060 (2000).
72. Adaptive rescaling
optimizes information transmission. N
Brenner, W Bialek & R de Ruyter van Steveninck, Neuron 26, 695-702 (2000).
See also the accompanying commentary by M DeWeese, Neuron
26, 546-548 (2000).
71. Synergy in a neural
code. N Brenner, SP Strong, R
Koberle, W Bialek & RR de Ruyter van Steveninck, Neural Comp 12, 1531-1552 (2000); physics/9902067 (1999).
70. Potenialit e limitazioni nella misura della transmission
dell'informazione neuronale. W Bialek, in Frontiere Della
Vita, Vol. III: Sistemi Intelligenti, pp 617-629 (Instituto della Enciclopedia Italiana,
1999).
From an English manuscript, Prospects and pitfalls in
the measurement of neural information transmission. English edition:
Frontiers of Life, Vol III:
Intelligent Systems (Academic Press, San Diego, 2002).
69. The information
bottleneck method. N Tishby,
FC Pereira, & W Bialek, in Proceedings of the 37th Annual Allerton
Conference on Communication, Control and Computing, B Hajek & RS Sreenivas,
eds, pp 368-377 (University of Illinois, 1999); physics/0004057 (2000).
68. Adaptation and
optimal chemotactic strategy for E. Coli. SP Strong, B Freedman, W Bialek & R Koberle, Phys Rev
E 57, 4604-4617 (1998);
adap-org/9706001 (1997).
67. On the application of
information theory to neural spike trains. SP Strong, RR de Ruyter van Steveninck, W Bialek &
R Koberle, in Pacific Symposium
on Biocomputing `98,
RB Altman, AK Dunker, L Hunter & TE Klein, eds, pp 621-632 (World
Scientific, Singapore, 1998).
66. Entropy and
information in neural spike trains.
SP Strong, R Koberle, RR de Ruyter van Steveninck & W Bialek, Phys
Rev Lett 80, 197-200 (1998); cond-mat/9603127 (1996).
65. Spikes: Exploring the Neural Code. F Rieke, D Warland, R de Ruyter van Steveninck & W
Bialek (MIT
Press, Cambridge, 1997). Introductory
chapter
Reviews include:
A King, The London Times
Higher Education Supplement 17 October 1997, p. 35; A Zador, Science 277, 772 (1997); LF Abbott, Neuron 19, 5 (1997); M Abeles, Trends
Neurosci. 20, 496 (1997).
64. Statistical mechanics and sensory signal processing. W Bialek, in Physics of Biological
Systems: From Molecules to
Species, H
Flyvbjerg, J Hertz, MH Jensen, OG Mouristen & K Sneppen, eds, pp 252-280
(Springer-Verlag, Berlin, 1997).
63. Reproducibility and
variability in neural spike trains.
RR de Ruyter van Steveninck, GD Lewen, SP Strong, R Koberle & W
Bialek, Science
275,
1805-1808 (1997).
62. Adaptation of
retinal processing to image contrast and spatial scale. S Smirnakis, MJ Berry II, DK Warland, W
Bialek & M Meister, Nature 386, 69-73 (1997).
61. Adaptive movement computation by the blowfy visual
system. RR de Ruyter van
Steveninck, W Bialek, M Potters, RH Carlson & GD Lewen, in Natural and Artificial Parallel Computation: Proceedings
of the Fifth NEC Research Symnposium, DL Waltz, ed, 21-41 (SIAM, Philadelphia, 1996).
60. Field theories for
learning probability distributions.
W Bialek, CG Callan &
SP Strong, Phys Rev Lett 77, 4693-4697 (1996); cond-mat/9607180 (1996).
59. Optimality and
adaptation in motion estimation by the blowfly visual system. RR de Ruyter van Steveninck & W
Bialek, Proceedings of the IEEE 22nd Annual Northeast Bioengineering Conference, 40-41 (1996).
58. Naturalistic stimuli
increase the rate and efficiency of information transmission by primary
auditory neurons. F Rieke, DA
Bodnar & W Bialek, Proc R Soc Lond Ser B 262, 259-265 (1995).
57. Reliability and
statistical efficiency of a blowfly movement-sensitive neuron. R de Ruyter van Steveninck & W
Bialek, Phil Trans R Soc Lond Ser B 348, 321-340 (1995).
For a preliminary account see Statistical
reliability of a blowfly movement-sensitive neuron, in Advances in Neural Information Processing 4, J Moody, SJ Hanson & RP
Lippman, eds pp 27-34, (Morgan Kaufmann, San Mateo CA, 1992).
56. Random switching
and optimal processing in the perception of ambiguous signals. W Bialek & M DeWeese, Phys Rev
Lett 74, 3077-3080 (1995).
55. Information flow
in sensory neurons. M DeWeese
& W Bialek, Il Nuovo
Cimento 17D, 733-741 (1995).
54. Statistical adaptation
and optimal estimation in movement computation by the blowfly visual system. RR de Ruyter van Steveninck, W Bialek,
M Potters & RH Carlson, in Proc
IEEE Conf Sys Man Cybern, 302-307 (1994).
53. Statistical
mechanics and visual signal processing. M Potters & W Bialek, J Phys I France 4, 1755-1775 (1994); cond-mat/9401072 (1994).
52. Statistics of
natural images: Scaling in the woods.
DL Ruderman & W Bialek, Phys Rev Lett 73, 814-817 (1994).
For a preliminary account see Advances in Neural
Information Processing 6, JD Cowan, G Tesauro & J Alspector, eds, pp 551-558 (Morgan
Kaufmann, San Mateo CA, 1994).
51. Properties and origins
of protein secondary structure.
N Socci, W Bialek & JN Onuchic, Phys Rev E 49, 3400-3443 (1994); cond-mat/9402010 (1994).
50. Visual computation: A fly's eye view. W Bialek, M Potters, DL Ruderman &
R de Ruyter van Steveninck, in Cognitive
Processing for Vision and Voice, Proceedings of the Fourth NEC Research
Symposium, T
Ishiguro, ed, pp 7-26, (SIAM, Philadelphia, 1993).
49. Non-phase-locked auditory cells and envelope detection. F Rieke, W Yamada, E Lewis & W
Bialek, in Analysis and
Modeling of Neural Systems 2, F Eeckman, ed, pp 255-263 (Kluwer Academic, 1993).
48. Bits and brains: Information flow in the nervous
system. W Bialek, M DeWeese, F
Rieke & D Warland, Physica A 200, 581-593 (1993).
47. Nonperturbative approach to non-Condon
effects: Must a nonadiabatic
transition always occur at the potential surface crossing? RF Goldstein, S Franzen & W Bialek, J
Phys Chem 97, 11168-11174 (1993).
46. Virtual
transitions in nonadiabatic condensed phase reactions. JS Joseph & W Bialek, J Phys
Chem 97, 3245-3256 (1993).
45. Coding efficiency and information rates in sensory
neurons. F Rieke, D Warland
& W Bialek, Europhys Lett 22, 151-156, (1993).
For a preliminary account see Measuring the coding
efficiency of sensory neurons, in Analysis
and Modeling of Neural Systems 2, F Eeckman, ed, pp 29-38 (Kluwer Academic, 1993).
44. Statistical mechanics for a network of spiking neurons. L Kruglyak & W Bialek, Neural Comp 5, 21-31 (1993).
43. Princeton Lectures on Biophysics. W Bialek, ed (World Scientific, Singapore, 1992).
42. Optimal signal processing in the nervous system. W Bialek, in [43], pp 321-401 (1992).
See
also Optimal real-time signal processing in the nervous system, in Analysis and Modeling of Neural
Systems 2, F Eeckman, ed, pp 5-28 (Kluwer
Academic, 1993).
41. Reliability and
information transmission in spiking neurons. W Bialek & F Rieke, Trends Neurosci 15, 428-434 (1992).
40. Real-time coding of complex sounds in the auditory
nerve. F Rieke, W Yamada, K
Moortgat, ER Lewis & W Bialek, in Auditory Physiology and Perception:
Proceedings of the 8th International Conference on Hearing, Y Cazals, L Demany, & K
Horner, eds, pp 315-322 (Pergamon, 1992).
39. Seeing beyond the Nyquist limit. DL Ruderman & W Bialek, Neural Comp 4, 682-690 (1992).
Reprinted in
Neural Codes and Distributed Representations: Foundations of Neural
Computation, LF
Abbott & TJ Sejnowski, eds (MIT Press, Cambridge, 1999).
38. A new look at the
primary charge separation in bacterial photosynthesis. SS Skourtis, AJR DaSilva, W Bialek
& JN Onuchic, J Phys Chem 96, 8034-8041 (1992).
37. Vibrationally
enhanced tunneling as a mechanism for enzymatic hydrogen transfer. WJ Bruno & W Bialek, Biophys
J 63, 689-699 (1992).
36. Virtual intermediates in photosynthetic electron
transfer. JS Joseph & W
Bialek, Biophys J 63, 397-411 (1992).
35. Bleaching of the
bacteriochlorophyll monomer: Can absorption kinetics distinguish virtual from
two-step transfer? JS Joseph, WJ Bruno & W Bialek, J Phys Chem
95, 6242-6247 (1991).
34. Reading a neural code. W Bialek, F Rieke, RR de Ruyter van
Steveninck & D Warland, Science 252, 1854-1857 (1991).
Reprinted in
Biology and Computation:
A Physicist's Choice, H Gutfreund & G Toulouse, eds (World Scientific,
Signapore, 1994). For a preliminary account see Advances in Neural Information Processing 2, D Touretzky, ed, pp 36-43
(Morgan Kaufmann, San Mateo CA, 1990).
33. Reading between the spikes in the cricket cercal afferent
system. D Warland, M Landolfa, JP
Miller & W Bialek, in Analysis
and Modeling of Neural Systems, F Eeckman, ed, pp 327-333 (Kluwer Academic, 1991).
32. Optimal sampling of natural images: A design principle for
the visual system? W Bialek, DL Ruderman & A
Zee, in Advances in Neural
Information Processing 3, R Lippman, J Moody & D Touretzky, eds, pp 363-369 (Morgan
Kaufmann, San Mateo CA, 1991).
31. Analog computation at a critical point: A novel function for
neuronal oscillations? L Kruglyak
& W Bialek, in Advances in
Neural Information Processing 3, R Lippman, J Moody & D Touretzky, eds, pp 137-143
(Morgan Kaufmann, San Mateo CA, 1991).
30. Optimal filtering in
the salamander retina. F Rieke, WG Owen, & W
Bialek, in Advances in Neural Information Processing 3, R Lippman, J Moody & D
Touretzky, eds, pp 377-383 (Morgan Kaufmann, San Mateo CA, 1991).
See also Analysis and Modeling of Neural Systems, F Eeckman, ed, pp 231-237
(Kluwer Academic, 1991).
29. Theoretical physics meets experimental neurobiology. W Bialek, in 1989 Lectures in Complex Systems, SFI Studies in the
Sciences of Complexity, Lect. Vol. II, E Jen, ed,
pp 513-595 (Addison-Wesley, Menlo Park CA, 1990).
28. Biomolecular dynamics—Quantum or classical?: Results
for photosynthetic electron transfer.
JN Onuchic, RF Goldstein & W Bialek, in Perspectives in Photosynthesis: Proceedings of the 22nd
Jerusalem Symposium on Quantum Chemistry and Biochemistry, J Jortner & B Pullman,
eds, pp 185-210 (Kluwer Academic, Dordrecht, 1990).
27. Temporal filtering
in retinal bipolar cells: Elements of an optimal computation? W Bialek & WG Owen, Biophys J 58, 1227-1233 (1990).
26. Non–Boltzmann dynamics in networks of spiking
neurons. MC Crair & W Bialek,
in Advances in Neural
Information Processing 2, D. Touretzky, ed, pp 109-116 (Morgan Kaufmann, San Mateo CA, 1990).
25. Coding and
computation with neural spike trains.
W Bialek & A Zee, J Stat Phys 59, 103-115 (1990).
24. Quantum and classical dynamics in biochemical
reactions. W Bialek, WJ Bruno, JS Joseph & JN Onuchic, Photosyn
Res 22, 17-25 (1989).
23. Optimal performance of a feed–forward network at
statistical discrimination tasks.
W Bialek, R Scalettar & A Zee, J Stat Phys 57, 141-156 (1989).
22. Understanding the
efficiency of human perception. W Bialek & A Zee, Phys Rev Lett 61, 1512-1515 (1988).
21. Real–time
performance of a movement sensitive neuron in the blowfly visual system: Coding
and information transfer in short spike sequences. R de Ruyter van Steveninck & W
Bialek, Proc R Soc London Ser B 234, 379-414 (1988).
20. Protein dynamics
and reaction rates: Mode–specific chemistry in large molecules? W Bialek & JN Onuchic, Proc NatŐl Acad Sci (USA) 85, 5908-5912 (1988).
19. Physical limits to
sensation and perception. W
Bialek, Ann. Rev Biophys Biophys Chem 16, 455-478 (1987).
18. Statistical mechanics
and invariant perception. W
Bialek & A Zee, Phys Rev Lett 58, 741-744 (1987).
17. Tunneling
spectroscopy of a macroscopic variable. W Bialek, S Chakravarty & S Kivelson, Phys Rev B 35, 120-123 (1987).
16. Simple models for the
dynamics of biomolecules: How far can we go? W Bialek, RF Goldstein & S Kivelson, in Structure, Dynamics and Function of
Biomolecules: The First EBSA Workshop, A Ehrenberg, R Rigler, A Grslund & LJ Nilsson,
eds, pp 65-69 (Springer-Verlag, Berlin, 1987).
15. Protein
dynamics, tunneling, and all that. W Bialek & RF Goldstein, Phys Scr 34, 273-282 (1986).
14. Protein dynamics and reaction rates: Are simple models
useful? RF Goldstein & W
Bialek, Comments Mol Cell Biophys 3, 407-438 (1986).
13. Macroscopic T
non-conservation: Prospects for a new experiment. W Bialek, J Moody & F Wilczek, Phys Rev Lett 56, 1623-1626 (1986).
12. The Vertebrate Inner Ear. ER Lewis, EL Leverenz & W Bialek (CRC Press, Boca Raton, 1985).
11. Quantum noise and the threshold of hearing. W Bialek & A Schweitzer, Phys
Rev Lett 54, 725-728 (1985). Erratum 56, 996 (1986).
10. Do vibrational spectroscopies uniquely describe protein
dynamics?: The case for myoglobin.
W Bialek & RF Goldstein, Biophys J 48, 1027-1044 (1985).
For a preliminary account see Protein vibrations can
markedly affect reaction kinetics: Interpretation of Myoglobin–CO
recombination, in Protein
Structure: Molecular and Electronic Reactivity, RH Austin, E Buhks, B Chance, D
DeVault, PL Dutton, H Frauenfelder & VI Gol'danskii, eds, pp 187-199
(Springer-Verlag, Berlin, 1987).
9. Quantum limits to oscillator stability: Theory and
experiments on an acoustic emission from the human ear. W Bialek & HP Wit, Phys Lett A 104, 173-178 (1984).
8. Phonon super-radiance.
W Bialek, Phys Lett A 103, 349-352 (1984).
7. Quantum noise and active
feedback. W Bialek, Phys
Rev D 28, 2096-2098 (1983).
6. Vibronically
coupled two-level systems: Radiationless transitions in the slow regime. RF Goldstein & W Bialek, Phys
Rev B 27, 7431-7439 (1983).
5. Quantum effects in the dynamics of biological systems. W Bialek, Doctoral Dissertation (University of California,
Berkeley, 1983).
4. Thermal and quantum noise in the inner ear. W Bialek, in Mechanics of Hearing, E de Boer & MA Viergever, eds, pp 185-192
(Nijhof, the Hague, 1983).
3. Thermal noise
and active processes in the inner ear: Relating theory to experiment. W Bialek, in Hearing: Physiological Bases and Psychophysics, R Klinke & R Hartmann,
eds, pp 51-57 (Springer-Verlag, Berlin, 1983).
2. Kinetics and mechanism of force production in muscle. W Bialek, Undergraduate Honors Thesis (University of
California, Berkeley, 1979).
1. Contraction of
glycerinated muscle fibers as a function of the ATP concentration. R Cooke & W Bialek, Biophys J
28, 241-258 (1979).