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127 Publications

2018 | Journal Article | IST-REx-ID: 543 | OA
Chalk, M. J., Marre, O., & Tkacik, G. (2018). Toward a unified theory of efficient, predictive, and sparse coding. PNAS, 115(1), 186–191. 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, 376377, 108–120. https://doi.org/10.1016/j.physd.2017.10.015
View | DOI | Download Submitted Version (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 281 | OA
Granados, A., Pietsch, J., Cepeda Humerez, S. A., Farquhar, I., Tkacik, G., & Swain, P. (2018). Distributed and dynamic intracellular organization of extracellular information. PNAS, 115(23), 6088–6093. https://doi.org/10.1073/pnas.1716659115
View | Files available | DOI | Download Preprint (ext.) | 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, 14(5). https://doi.org/10.1371/journal.pcbi.1006057
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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, 1771, 183–202. https://doi.org/10.1007/978-1-4939-7792-5_15
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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, 4(4). https://doi.org/10.1016/j.heliyon.2018.e00596
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2018 | Journal Article | IST-REx-ID: 31 | OA
Ferrari, U., Deny, S., Chalk, M. J., Tkacik, G., Marre, O., & Mora, T. (2018). Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons. Physical Review E, 98(4), 042410. https://doi.org/10.1103/PhysRevE.98.042410
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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, 2(10), 1633–1643. https://doi.org/10.1038/s41559-018-0651-y
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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, 9(1). https://doi.org/10.1038/s41467-018-05417-9
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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, 35(11), 2669–2684. https://doi.org/10.1093/molbev/msy163
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2018 | Journal Article | IST-REx-ID: 316 | OA
Bod’ová, 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, 209(3), 861–883. https://doi.org/10.1534/genetics.118.300748
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2017 | Journal Article | IST-REx-ID: 2016 | OA
Martin Del Campo Sanchez, A., Cepeda Humerez, S. A., & Uhler, C. (2017). Exact goodness-of-fit testing for the Ising model. Scandinavian Journal of Statistics, 44(2), 285–306. https://doi.org/10.1111/sjos.12251
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
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, 13(9). https://doi.org/10.1371/journal.pcbi.1005763
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2017 | Journal Article | IST-REx-ID: 725 | OA
Harpaz, R., Tkacik, G., & Schneidman, E. (2017). Discrete modes of social information processing predict individual behavior of fish in a group. PNAS, 114(38), 10149–10154. https://doi.org/10.1073/pnas.1703817114
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2017 | Journal Article | IST-REx-ID: 730
Savin, C., & Tkacik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology, 46, 120–126. https://doi.org/10.1016/j.conb.2017.08.001
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2017 | Journal Article | IST-REx-ID: 735
Barone, V., Lang, M., Krens, G., Pradhan, S., Shamipour, S., Sako, K., … Heisenberg, C.-P. J. (2017). An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell, 43(2), 198–211. https://doi.org/10.1016/j.devcel.2017.09.014
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2017 | Journal Article | IST-REx-ID: 548 | OA
De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E, 96(6). https://doi.org/10.1103/PhysRevE.96.060401
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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, 8(1). https://doi.org/10.1038/s41467-017-01683-1
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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, 11(MAR). https://doi.org/10.3389/fnbot.2017.00008
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