Areas of Research: Theoretical Biophysics; Neurobiology
- Physics and the Lewis-Sigler Institute for Integrative Genomics
237 Carl Icahn Laboratory
Interested in the interface between physics and biology, broadly interpreted. A central theme in my research is an appreciation for how well things "work" in biological systems. It is, after all, some notion of functional behavior that distinguishes life from inanimate matter, and it is a challenge to quantify this functionality in a language that parallels our characterization of other physical systems. Strikingly, when we do this (and there are not so many cases where it has been done!), the performance of biological systems often approaches some limits set by basic physicalprinciples. While it is popular to view biological mechanisms as an historical record of evolutionary and developmental compromises, these observations on functional performance point toward a very different view of life as having selected a set of near optimal mechanisms for its most crucial tasks. Even if this view is wrong, it suggests a theoretical physicist's idealization; the construction of this idealization and the attempt to calibrate the performance of real biological systems against this ideal provides a productive route for the interaction of theory and experiment, and in several cases this effort has led to the discovery of new phenomena. The idea of performance near the physical limits crosses many levels of biological organization, from single molecules to cells to perception and learning in the brain, and I have tried to contribute to this whole range of problems.
Links to pdf versions of the papers, as available. Users are responsible for compliance with copyright restrictions.
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.
- Biophysics: Searching for Principles. W Bialek (Princeton University Press, 2012).
- The simplest maximum entropy model for collective behavior in a neural network.G Tkacik, O Marre, D Amodei, MJ Berry II & W Bialek, arXiv.org:1207.6319 [q–bio.NC] (2012).
- Maximally informative stimulus energies in the analysis of neural responses to natural signals.K Rajan & W Bialek, arXiv.org:1201.0321 [q–bio.NC] (2012).
- Positional information, inbits.JO Dubuis, G Tkacik, EF Wieschaus, T Gregor & W Bialek, arXiv.org:1201.0198 [q–bio.MN] (2012).
- Optimizing information flow in small genetic networks. III. A self--interacting gene.G Tkacik, AM Walczak & W Bialek,Phys Rev E 85,041903 (2012); arXiv.org:1112.5026 [q–bio.MN] (2011).
- Statistical mechanics for natural flocks of birds.W Bialek, A Cavagna, I Giardina, T Mora, E Silvestri, M Viale & A Walczak, Proc Natl Acad Sci (USA) 109, 4786-4791 (2012); arXiv.org:1107.0604 [physics.bio–ph] (2011).
- When are correlations strong? F Azhar & W Bialek, arXiv.org:1012.5987 [q–bio.NC] (2010).
- Searching for simplicity:Approaches to the analysis of neurons and behavior. GJ Stephens, LC Osborne & W Bialek, Proc Naatl Acad Sci (USA) 108, (Suppl 3) 15565-15571 (2011); arXiv.org:1012.3896 [q–bio.NC] (2010).
- Are biological systems poised at criticality? T Mora & W Bialek, J Stat Phys 144, 268-302 (2011); arXiv:1012.2242 [q–bio.QM] (2010).
- Optimizing information flow in small genetic networks. II:Feed-forward interactions. AM Walczak, G Tkacik & W Bialek, Phys Rev E 81, 041905 (2010); arXiv:0912.5500 [q–bio.MN] (2009).
- Spin glass models for networks of real neurons.G Tkacik, E Schneidman, MJ Berry II & W Bialek, arXiv:0912.5409 [q–bio.NC] (2009).
- Emergence of long timescales and stereotyped behaviors in Caenorhabditis elegans. GJ Stephens, MB de Mesquita, WS Ryu& W Bialek, Proc Nat'l Acad Sci (USA) 108, 7286-7289 (2011).
For a preliminary account, see The emergence of stereotyped behaviors in C. elegans. GJ Stephens, WS Ryu & W Bialek, arXiv:0912.5232 [q–bio.NC] (2009).
- Maximum entropy models for antibody diversity.T Mora, AM Walczak, W Bialek & CG Callan, Jr, Proc Nat'l Acad Sci (USA) 107, 5405-5410 (2010); arXv:0912.5175 [q–bio.GN] (2009).
- From modes to movement in C. elegans. GJ Stephens, B Johnson-Kerner, W Bialek & WS Ryu, PLoS One 5, e13914 (2010); arXiv:0912.4760 [q–bio.NC] (2009).
- 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).
View complete list of Publications.