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135 Publications

2015 | Conference Paper | IST-REx-ID: 1658
Bogomolov, S., Henzinger, T. A., Podelski, A., Ruess, J., & Schilling, C. (2015). Adaptive moment closure for parameter inference of biochemical reaction networks. Presented at the CMSB: Computational Methods in Systems Biology, Nantes, France: Springer. https://doi.org/10.1007/978-3-319-23401-4_8
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2015 | Journal Article | IST-REx-ID: 1666 | OA
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics, 11(11). https://doi.org/10.1371/journal.pgen.1005639
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2015 | Journal Article | IST-REx-ID: 1697 | OA
Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkačik, G., & Berry, M. (2015). High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology, 11(7). https://doi.org/10.1371/journal.pcbi.1004304
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2015 | Journal Article | IST-REx-ID: 1701 | OA
Tkacik, G., Mora, T., Marre, O., Amodei, D., Palmer, S., Berry Ii, M., & Bialek, W. (2015). Thermodynamics and signatures of criticality in a network of neurons. PNAS, 112(37), 11508–11513. https://doi.org/10.1073/pnas.1514188112
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2015 | Journal Article | IST-REx-ID: 1827 | OA
Friedlander, T., Mayo, A., Tlusty, T., & Alon, U. (2015). Evolution of bow-tie architectures in biology. PLoS Computational Biology, 11(3). https://doi.org/10.1371/journal.pcbi.1004055
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2015 | Journal Article | IST-REx-ID: 1861
Ruess, J., & Lygeros, J. (2015). Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks. ACM Transactions on Modeling and Computer Simulation, 25(2). https://doi.org/10.1145/2688906
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2015 | Journal Article | IST-REx-ID: 1885 | OA
Tkacik, G., Dubuis, J., Petkova, M., & Gregor, T. (2015). Positional information, positional error, and readout precision in morphogenesis: A mathematical framework. Genetics, 199(1), 39–59. https://doi.org/10.1534/genetics.114.171850
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2015 | Journal Article | IST-REx-ID: 1940 | OA
Sokolowski, T. R., & Tkacik, G. (2015). Optimizing information flow in small genetic networks. IV. Spatial coupling. Physical Review E Statistical Nonlinear and Soft Matter Physics, 91(6). https://doi.org/10.1103/PhysRevE.91.062710
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2015 | Journal Article | IST-REx-ID: 1538 | OA
Ruess, J., Parise, F., Milias Argeitis, A., Khammash, M., & Lygeros, J. (2015). Iterative experiment design guides the characterization of a light-inducible gene expression circuit. PNAS, 112(26), 8148–8153. https://doi.org/10.1073/pnas.1423947112
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2015 | Journal Article | IST-REx-ID: 1539 | OA
Ruess, J. (2015). Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics, 143(24). https://doi.org/10.1063/1.4937937
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2014 | Journal Article | IST-REx-ID: 2231 | OA
Rieckh, G., & Tkacik, G. (2014). Noise and information transmission in promoters with multiple internal states. Biophysical Journal, 106(5), 1194–1204. https://doi.org/10.1016/j.bpj.2014.01.014
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2014 | Journal Article | IST-REx-ID: 2257 | OA
Tkačik, G., Marre, O., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2014). Searching for collective behavior in a large network of sensory neurons. PLoS Computational Biology, 10(1). https://doi.org/10.1371/journal.pcbi.1003408
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2014 | Journal Article | IST-REx-ID: 537 | OA
Prizak, R., Ezard, T., & Hoyle, R. (2014). Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution, 4(15), 3139–3145. https://doi.org/10.1002/ece3.1150
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2014 | Conference Paper | IST-REx-ID: 1708
Savin, C., & Denève, S. (2014). Spatio-temporal representations of uncertainty in spiking neural networks (Vol. 3, pp. 2024–2032). Presented at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information Processing Systems.
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2014 | Journal Article | IST-REx-ID: 1886 | OA
Hermundstad, A., Briguglio, J., Conte, M., Victor, J., Balasubramanian, V., & Tkačik, G. (2014). Variance predicts salience in central sensory processing. ELife, (November). https://doi.org/10.7554/eLife.03722
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2014 | Journal Article | IST-REx-ID: 1896 | OA
Kollár, R., Bod’ová, K., Nosek, J., & Tomáška, Ľ. (2014). Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics, 89(3). https://doi.org/10.1103/PhysRevE.89.032701
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2014 | Journal Article | IST-REx-ID: 1909 | OA
Ezard, T., Prizak, R., & Hoyle, R. (2014). The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology, 28(3), 693–701. https://doi.org/10.1111/1365-2435.12207
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2014 | Journal Article | IST-REx-ID: 1928
Humplik, J., Hill, A., & Nowak, M. (2014). Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology, 360, 149–162. https://doi.org/10.1016/j.jtbi.2014.06.039
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2014 | Journal Article | IST-REx-ID: 1931 | OA
Savin, C., & Triesch, J. (2014). Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience, 8(MAY). https://doi.org/10.3389/fncom.2014.00057
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2014 | Journal Article | IST-REx-ID: 3263 | OA
Tkačik, G., Ghosh, A., Schneidman, E., & Segev, R. (2014). Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One, 9(1). https://doi.org/10.1371/journal.pone.0085841
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2013 | Journal Article | IST-REx-ID: 2277 | OA
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2013). Transformation of stimulus correlations by the retina. PLoS Computational Biology, 9(12). https://doi.org/10.1371/journal.pcbi.1003344
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2013 | Book Chapter | IST-REx-ID: 2413
Valderrama, M., Botella Soler, V., & Le Van Quyen, M. (2013). Neuronal oscillations scale up and scale down the brain dynamics . In M. Meyer & Z. Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Wiley-VCH. https://doi.org/10.1002/9783527671632.ch08
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2013 | Journal Article | IST-REx-ID: 499
Wakamoto, Y., Dhar, N., Chait, R. P., Schneider, K., Signorino Gelo, F., Leibler, S., & Mckinney, J. (2013). Dynamic persistence of antibiotic-stressed mycobacteria. Science, 339(6115), 91–95. https://doi.org/10.1126/science.1229858
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2013 | Journal Article | IST-REx-ID: 2818 | OA
Rajan, K., Marre, O., & Tkacik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation, 25(7), 1661–1692. https://doi.org/10.1162/NECO_a_00463
View | DOI | Download Preprint (ext.) | arXiv
 
2013 | Journal Article | IST-REx-ID: 2850 | OA
Tkacik, G., Marre, O., Mora, T., Amodei, D., Berry, M., & Bialek, W. (2013). The simplest maximum entropy model for collective behavior in a neural network. Journal of Statistical Mechanics Theory and Experiment, 2013(3), P03011. https://doi.org/10.1088/1742-5468/2013/03/P03011
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2013 | Journal Article | IST-REx-ID: 2851
Berry, M., Tkacik, G., Dubuis, J., Marre, O., & Da Silveira, R. (2013). A simple method for estimating the entropy of neural activity. Journal of Statistical Mechanics Theory and Experiment, 2013(3). https://doi.org/10.1088/1742-5468/2013/03/P03015
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2013 | Journal Article | IST-REx-ID: 2861
Botella Soler, V., Oteo, J., Ros, J., & Glendinning, P. (2013). Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical, 46(12). https://doi.org/10.1088/1751-8113/46/12/125101
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2013 | Journal Article | IST-REx-ID: 2863 | OA
Granot Atedgi, E., Tkačik, G., Segev, R., & Schneidman, E. (2013). Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology, 9(3). https://doi.org/10.1371/journal.pcbi.1002922
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2013 | Journal Article | IST-REx-ID: 2913 | OA
Tkacik, G., Granot Atedgi, E., Segev, R., & Schneidman, E. (2013). Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters, 110(5). https://doi.org/10.1103/PhysRevLett.110.058104
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2013 | Journal Article | IST-REx-ID: 2914 | OA
Stephens, G., Mora, T., Tkačik, G., & Bialek, W. (2013). Statistical thermodynamics of natural images. Physical Review Letters, 110(1). https://doi.org/10.1103/PhysRevLett.110.018701
View | Files available | DOI | Download Published Version (ext.) | arXiv
 
2013 | Journal Article | IST-REx-ID: 3261 | OA
Dubuis, J., Tkačik, G., Wieschaus, E., Gregor, T., & Bialek, W. (2013). Positional information, in bits. PNAS, 110(41), 16301–16308. https://doi.org/10.1073/pnas.1315642110
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2012 | Journal Article | IST-REx-ID: 3262 | OA
Tkacik, G., Walczak, A., & Bialek, W. (2012). Optimizing information flow in small genetic networks. III. A self-interacting gene. Physical Review E Statistical Nonlinear and Soft Matter Physics , 85(4). https://doi.org/10.1103/PhysRevE.85.041903
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2012 | Journal Article | IST-REx-ID: 3274
Rieckh, G., Kreuzer, W., Waubke, H., & Balazs, P. (2012). A 2.5D-Fourier-BEM model for vibrations in a tunnel running through layered anisotropic soil. Engineering Analysis with Boundary Elements, 36(6), 960–967. https://doi.org/10.1016/j.enganabound.2011.12.014
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2011 | Journal Article | IST-REx-ID: 3374 | OA
Tkacik, G., & Walczak, A. (2011). Information transmission in genetic regulatory networks a review. Journal of Physics: Condensed Matter, 23(15). https://doi.org/10.1088/0953-8984/23/15/153102
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2011 | Journal Article | IST-REx-ID: 3384 | OA
Tkačik, G., Garrigan, P., Ratliff, C., Milcinski, G., Klein, J., Seyfarth, L., … Balasubramanian, V. (2011). Natural images from the birthplace of the human eye. PLoS One, 6(6). https://doi.org/10.1371/journal.pone.0020409
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