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174 Publications

2019 | Conference Paper | IST-REx-ID: 7606 | OA
Hledik, M., Sokolowski, T. R., & Tkačik, G. (2019). A tight upper bound on mutual information. In IEEE Information Theory Workshop, ITW 2019. Visby, Sweden: IEEE. https://doi.org/10.1109/ITW44776.2019.8989292
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2018 | Journal Article | IST-REx-ID: 306 | OA
De Martino, A., & De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. Elsevier. https://doi.org/10.1016/j.heliyon.2018.e00596
[Published Version] View | Files available | DOI
 
2018 | Journal Article | IST-REx-ID: 305
Misun, P., Birchler, A., Lang, M., Hierlemann, A., & Frey, O. (2018). Fabrication and operation of microfluidic hanging drop networks. Methods in Molecular Biology. Springer. https://doi.org/10.1007/978-1-4939-7792-5_15
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2018 | Journal Article | IST-REx-ID: 281 | OA
Granados, A., Pietsch, J., Cepeda Humerez, S. A., Farquhar, I., Tkačik, G., & Swain, P. (2018). Distributed and dynamic intracellular organization of extracellular information. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1716659115
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | PubMed | Europe PMC
 
2018 | Journal Article | IST-REx-ID: 316 | OA
Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300748
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
2018 | Research Data Reference | IST-REx-ID: 9813 | OA
Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America. https://doi.org/10.25386/genetics.6148304.v1
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2018 | Journal Article | IST-REx-ID: 406 | OA
Bod’Ová, K., Mitchell, G., Harpaz, R., Schneidman, E., & Tkačik, G. (2018). Probabilistic models of individual and collective animal behavior. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0193049
[Submitted Version] View | Files available | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 457
Pleska, M., Lang, M., Refardt, D., Levin, B., & Guet, C. C. (2018). Phage-host population dynamics promotes prophage acquisition in bacteria with innate immunity. Nature Ecology and Evolution. Springer Nature. https://doi.org/10.1038/s41559-017-0424-z
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2018 | Research Data Reference | IST-REx-ID: 9831
Bod’Ová, K., Mitchell, G., Harpaz, R., Schneidman, E., & Tkačik, G. (2018). Implementation of the inference method in Matlab. Public Library of Science. https://doi.org/10.1371/journal.pone.0193049.s001
[Published Version] View | Files available | DOI
 
2018 | Journal Article | IST-REx-ID: 31 | OA
Ferrari, U., Deny, S., Chalk, M. J., Tkačik, G., Marre, O., & Mora, T. (2018). Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.98.042410
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2018 | Journal Article | IST-REx-ID: 543 | OA
Chalk, M. J., Marre, O., & Tkačik, G. (2018). Toward a unified theory of efficient, predictive, and sparse coding. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1711114115
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2018 | Journal Article | IST-REx-ID: 607 | OA
Bodova, K., Haskovec, J., & Markowich, P. (2018). Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. Elsevier. https://doi.org/10.1016/j.physd.2017.10.015
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2018 | Journal Article | IST-REx-ID: 19 | OA
Palmer, A., Chait, R. P., & Kishony, R. (2018). Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msy163
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2018 | Journal Article | IST-REx-ID: 292 | OA
Botella Soler, V., Deny, S., Martius, G. S., Marre, O., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1006057
[Published Version] View | Files available | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 161 | OA
De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkačik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-018-05417-9
[Published Version] View | Files available | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 67 | OA
Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018). Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. Nature Publishing Group. https://doi.org/10.1038/s41559-018-0651-y
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Journal Article | IST-REx-ID: 613 | OA
Chait, R. P., Ruess, J., Bergmiller, T., Tkačik, G., & Guet, C. C. (2017). Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-01683-1
[Published Version] View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 652
Der, R., & Martius, G. S. (2017). Dynamical self consistency leads to behavioral development and emergent social interactions in robots. Presented at the ICDL EpiRob: International Conference on Development and Learning and Epigenetic Robotics , Cergy-Pontoise, France: IEEE. https://doi.org/10.1109/DEVLRN.2016.7846789
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2017 | Journal Article | IST-REx-ID: 658 | OA
Der, R., & Martius, G. S. (2017). Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. Frontiers Research Foundation. https://doi.org/10.3389/fnbot.2017.00008
[Published Version] View | Files available | DOI
 
2017 | Journal Article | IST-REx-ID: 720 | OA
Humplik, J., & Tkačik, G. (2017). Probabilistic models for neural populations that naturally capture global coupling and criticality. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005763
[Published Version] View | Files available | DOI
 

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