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112 Publications

2015 | Journal Article | IST-REx-ID: 1570   OA
Der, R., & Martius, G. S. (2015). Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS, 112(45), E6224–E6232. https://doi.org/10.1073/pnas.1508400112
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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: 1564   OA
Gilson, M., Savin, C., & Zenke, F. (2015). Editorial: Emergent neural computation from the interaction of different forms of plasticity. Frontiers in Computational Neuroscience, 9(11). https://doi.org/10.3389/fncom.2015.00145
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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 | 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: 1576
Cepeda Humerez, S. A., Rieckh, G., & Tkacik, G. (2015). Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation. Physical Review Letters, 115(24). https://doi.org/10.1103/PhysRevLett.115.248101
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2014 | Journal Article | IST-REx-ID: 3263   OA
Tkacik, 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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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: 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: 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: 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: 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: 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: 1886   OA
Hermundstad, A., Briguglio, J., Conte, M., Victor, J., Balasubramanian, V., & Tkacik, 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: 2257
Tkacik, 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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2013 | Journal Article | IST-REx-ID: 2277   OA
Simmons, K., Prentice, J., Tkacik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2013). Transformation of stimulus correlations by the retina. PLoS Computational Biology, 9(12), e1003344. https://doi.org/10.1371/journal.pcbi.1003344
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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), 125101. https://doi.org/10.1088/1751-8113/46/12/125101
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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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