Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
193 Publications
2016 | Published | Journal Article | IST-REx-ID: 1242 | 
T. R. Sokolowski, A. Walczak, W. Bialek, and G. Tkačik, “Extending the dynamic range of transcription factor action by translational regulation,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2. American Institute of Physics, 2016.
[Preprint]
View
| DOI
| Download Preprint (ext.)
2016 | Research Data Reference | IST-REx-ID: 9870
P. Hillenbrand, U. Gerland, and G. Tkačik, “Computation of positional information in an Ising model.” Public Library of Science, 2016.
[Published Version]
View
| Files available
| DOI
2016 | Research Data Reference | IST-REx-ID: 9869
P. Hillenbrand, U. Gerland, and G. Tkačik, “Error bound on an estimator of position.” Public Library of Science, 2016.
[Published Version]
View
| Files available
| DOI
2016 | Research Data Reference | IST-REx-ID: 9871
P. Hillenbrand, U. Gerland, and G. Tkačik, “Computation of positional information in a discrete morphogen field.” Public Library of Science, 2016.
[Published Version]
View
| Files available
| DOI
2016 | Published | Journal Article | IST-REx-ID: 1394 |
D. De Martino, F. Capuani, and A. De Martino, “Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli,” Physical Biology, vol. 13, no. 3. IOP Publishing, 2016.
[Preprint]
View
| DOI
| Download Preprint (ext.)
2016 | Published | Journal Article | IST-REx-ID: 1188 |
D. De Martino and D. Masoero, “Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12. IOP Publishing, 2016.
[Preprint]
View
| DOI
| Download Preprint (ext.)
2016 | Published | Conference Paper | IST-REx-ID: 1105
Savin, Cristina, Estimating nonlinear neural response functions using GP priors and Kronecker methods. 29. 2016
View
| Download None (ext.)
2016 | Published | Conference Paper | IST-REx-ID: 948
Monk, Travis, Neurons equipped with intrinsic plasticity learn stimulus intensity statistics. 29. 2016
View
| Download None (ext.)
2016 | Published | Journal Article | IST-REx-ID: 1485 |
De Martino, Daniele, Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis. Physical Biology 13 (1). 2016
[Preprint]
View
| DOI
| Download Preprint (ext.)
2016 | Published | Conference Paper | IST-REx-ID: 8094 |
Martius, Georg S, Self-organized control of an tendon driven arm by differential extrinsic plasticity. 15th International Conference on the Synthesis and Simulation of Living Systems 28. 2016
[Published Version]
View
| Files available
| DOI
2016 | Published | Conference Paper | IST-REx-ID: 1320
M. Lang and E. Sontag, “Scale-invariant systems realize nonlinear differential operators,” presented at the ACC: American Control Conference, Boston, MA, USA, 2016, vol. 2016–July.
[Preprint]
View
| Files available
| DOI
2016 | Published | Journal Article | IST-REx-ID: 1420 |
K. Bodova, G. Tkačik, and N. H. Barton, “A general approximation for the dynamics of quantitative traits,” Genetics, vol. 202, no. 4. Genetics Society of America, pp. 1523–1548, 2016.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2016 | Published | Journal Article | IST-REx-ID: 1358 |
T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic limits to gene regulation by global crosstalk,” Nature Communications, vol. 7. Nature Publishing Group, 2016.
[Published Version]
View
| Files available
| DOI
2016 | Published | Journal Article | IST-REx-ID: 1148
C. Schilling, S. Bogomolov, T. A. Henzinger, A. Podelski, and J. Ruess, “Adaptive moment closure for parameter inference of biochemical reaction networks,” Biosystems, vol. 149. Elsevier, pp. 15–25, 2016.
View
| Files available
| DOI
2016 | Published | Journal Article | IST-REx-ID: 1197 |
J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, and M. Berry, “Error-robust modes of the retinal population code,” PLoS Computational Biology, vol. 12, no. 11. Public Library of Science, 2016.
[Published Version]
View
| Files available
| DOI
2016 | Published | Journal Article | IST-REx-ID: 1248 |
G. Tkačik and W. Bialek, “Information processing in living systems,” Annual Review of Condensed Matter Physics, vol. 7. Annual Reviews, pp. 89–117, 2016.
[Preprint]
View
| DOI
| Download Preprint (ext.)
2016 | Published | Conference Paper | IST-REx-ID: 1082 |
M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational information bottleneck,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2015 | Published | Journal Article | IST-REx-ID: 1885 |
G. Tkačik, J. Dubuis, M. Petkova, and T. Gregor, “Positional information, positional error, and readout precision in morphogenesis: A mathematical framework,” Genetics, vol. 199, no. 1. Genetics Society of America, pp. 39–59, 2015.
[Preprint]
View
| DOI
| Download Preprint (ext.)
2015 | Published | Journal Article | IST-REx-ID: 1940 |
T. R. Sokolowski and G. Tkačik, “Optimizing information flow in small genetic networks. IV. Spatial coupling,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 6. American Institute of Physics, 2015.
[Preprint]
View
| DOI
| Download Preprint (ext.)