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173 Publications
2015 | Journal Article | IST-REx-ID: 1885 | 
Tkačik, G., Dubuis, J., Petkova, M., & Gregor, T. (2015). Positional information, positional error, and readout precision in morphogenesis: A mathematical framework. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.114.171850
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2015 | Journal Article | IST-REx-ID: 1940 |
Sokolowski, T. R., & Tkačik, G. (2015). Optimizing information flow in small genetic networks. IV. Spatial coupling. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.91.062710
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2015 | Research Data Reference | IST-REx-ID: 9712
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness models for comparison & for interacting TFBSs. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639.s001
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2015 | Research Data Reference | IST-REx-ID: 9718
Friedlander, T., Mayo, A. E., Tlusty, T., & Alon, U. (2015). Supporting information text. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055.s001
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2015 | Research Data Reference | IST-REx-ID: 9773
Friedlander, T., Mayo, A. E., Tlusty, T., & Alon, U. (2015). Evolutionary simulation code. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055.s002
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2014 | Journal Article | IST-REx-ID: 3263 |
Tkačik, G., Ghosh, A., Schneidman, E., & Segev, R. (2014). Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0085841
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2014 | Journal Article | IST-REx-ID: 537 |
Prizak, R., Ezard, T., & Hoyle, R. (2014). Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. Wiley-Blackwell. 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 |
Hermundstad, A., Briguglio, J., Conte, M., Victor, J., Balasubramanian, V., & Tkačik, G. (2014). Variance predicts salience in central sensory processing. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.03722
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2014 | Journal Article | IST-REx-ID: 1909 |
Ezard, T., Prizak, R., & Hoyle, R. (2014). The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. Wiley-Blackwell. 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. Elsevier. https://doi.org/10.1016/j.jtbi.2014.06.039
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2014 | Journal Article | IST-REx-ID: 1931 |
Savin, C., & Triesch, J. (2014). Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. Frontiers Research Foundation. https://doi.org/10.3389/fncom.2014.00057
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2014 | Journal Article | IST-REx-ID: 2231 |
Rieckh, G., & Tkačik, G. (2014). Noise and information transmission in promoters with multiple internal states. Biophysical Journal. Biophysical Society. https://doi.org/10.1016/j.bpj.2014.01.014
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| PubMed | Europe PMC
2014 | Journal Article | IST-REx-ID: 2257 |
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. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003408
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2014 | Journal Article | IST-REx-ID: 1896 |
Kollár, R., Bodova, K., Nosek, J., & Tomáška, Ľ. (2014). Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.032701
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2014 | Research Data Reference | IST-REx-ID: 9752 |
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2014). Data from: Transformation of stimulus correlations by the retina. Dryad. https://doi.org/10.5061/dryad.246qg
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2014 | Journal Article | IST-REx-ID: 2028 |
Bodova, K., Paydarfar, D., & Forger, D. (2014). Characterizing spiking in noisy type II neurons. Journal of Theoretical Biology. Academic Press. https://doi.org/10.1016/j.jtbi.2014.09.041
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2014 | Journal Article | IST-REx-ID: 2183 |
Botella Soler, V., & Glendinning, P. (2014). Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.062809
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2013 | Journal Article | IST-REx-ID: 2818 |
Rajan, K., Marre, O., & Tkačik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. MIT Press . https://doi.org/10.1162/NECO_a_00463
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| arXiv
2013 | Journal Article | IST-REx-ID: 2850 |
Tkačik, 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. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/03/P03011
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