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Rieckh, G. (2016). Studying the complexities of transcriptional regulation. Institute of Science and Technology Austria.
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Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., &; Tkadik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms12307 
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Parise, F., Lygeros, J., &; Ruess, J. (2015). Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. Frontiers.https://doi.org/10.3389/fenvs.2015.00042 
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Ruess, J. (2015). Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics. American Institute of Physics.https://doi.org/10.1063/1.4937937 
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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. National Academy of Sciences.https://doi.org/10.1073/pnas.1423947112 
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Gilson, M., Savin, C., &; Zenke, F. (2015). Editorial: Emergent neural computation from the interaction of different forms of plasticity. Frontiers in Computational Neuroscience. Frontiers Research Foundation.https://doi.org/10.3389/fncom.2015.00145 
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Der, R., &; Martius, G. S. (2015). Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1508400112 
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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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Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkadik, G., &; Berry, M. (2015). High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1004304 
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Tkadik, 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. National Academy of Sciences.https://doi.org/10.1073/pnas.1514188112 
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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. ACM.https://doi.org/10.1145/2688906 
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Tkadik, 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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Sokolowski, T. R., &; Tkadik, 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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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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Friedlander, T., Mayo, A., Tlusty, T., &; Alon, U. (2015). Evolution of bow-tie architectures in biology. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1004055 
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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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Tugrul, M., Paixao, T., Barton, N. H., &; Tkadik, 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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Tugrul, M., Paixao, T., Barton, N. H., &; Tkadik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1005639 
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Cepeda Humerez, S. A., Rieckh, G., &; Tkadik, G. (2015). Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.115.248101 
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