Last
updated 4 January 2010
Links are to pdf
versions of the papers, as available.
Users are responsible for compliance with copyright restrictions.
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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.
136. Optimizing information flow in small genetic
networks. II: Feed forward
networks. AM Walczak, G Tkacik
& W Bialek, arXiv:0912.5500 [q–bio.MN]
(2009).
135. Spin glass models for networks of real
neurons. G Tkacik,
E Schneidman, MJ Berry II & W Bialek,
arXiv:0912.5409 [q–bio.NC]
(2009).
134. The emergence of stereotyped behaviors in
C. elegans. GJ Stephens, WS Ryu
& W Bialek, arXiv:0912.5232 [q–bio.NC]
(2009).
133. Maximum entropy models for antibody diversity. T Mora, AM Walczak,
W Bialek & CG Callan, Jr,
arXv:0912.5175 [q–bio.GN]
(2009).
132. From modes to movement in C. elegans.
GJ Stephens, B Johnson-Kerner, W Bialek & WS Ryu, arXiv:0912.4760 [q–bio.NC] (2009).
131. Optimizing information flow in small
genetic networks. G Tkacik, AM Walczak & W
Bialek, Phys Rev E 80, 031920 (2009); arXiv:0903.4491
[q–bio.MN] (2009).
130. Thermodynamics of natural images. GJ Stephens, T Mora, G Tkacik & W Bialek, arXiv: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: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:0801.0253 [q–bio.NC]
(2008).
126. Rediscovering the power of pairwise interactions. W Bialek & R Ranganathan,
arXiv:0712.4397 [q–bio.QM]
(2007).
125. Cell biology: Networks, regulation, pathways. G
Tkacik & W Bialek, in Encyclopedia of Complexity and Systems Science, RA Meyers, ed, pp 719-741 (Springer-Verlag,
Berlin, 2009); arXiv:0712.4385 [q–bio.MN]
(2007).
124. Information
and fitness. SF Taylor, N Tishby & W Bialek, arXiv: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: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).