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112 Publications

2018 | Preprint | IST-REx-ID: 196   OA
Lang, M., & Shkolnikov, M. (2018). Harmonic dynamics of the Abelian sandpile. ArXiv. ArXiv.
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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: 406   OA
Bod’Ová, K., Mitchell, G., Harpaz, R., Schneidman, E., & Tkacik, G. (2018). Probabilistic models of individual and collective animal behavior. PLoS One, 13(3). https://doi.org/10.1371/journal.pone.0193049
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2018 | Journal Article | IST-REx-ID: 292
Botella Soler, V., Deny, S., Martius, G. S., Marre, O., & Tkacik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology, 14(5), e1006057. https://doi.org/10.1371/journal.pcbi.1006057
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2018 | Research Data | IST-REx-ID: 5584   OA
Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkacik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. IST Austria. https://doi.org/10.15479/AT:ISTA:98
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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: 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, 2(2), 359–366. https://doi.org/10.1038/s41559-017-0424-z
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2018 | Journal Article | IST-REx-ID: 161
De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkacik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications, 9(1), 2988. https://doi.org/10.1038/s41467-018-05417-9
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2018 | Journal Article | IST-REx-ID: 281
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
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2018 | Research Data | IST-REx-ID: 5585
Igler, C., Lagator, M., Tkacik, G., Bollback, J. P., & Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. IST Austria. https://doi.org/10.15479/AT:ISTA:108
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2017 | Journal Article | IST-REx-ID: 1104   OA
Deny, S., Ferrari, U., Mace, E., Yger, P., Caplette, R., Picaud, S., … Marre, O. (2017). Multiplexed computations in retinal ganglion cells of a single type. Nature Communications, 8(1). https://doi.org/10.1038/s41467-017-02159-y
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2017 | Research Data | IST-REx-ID: 5562   OA
Marre, O., Tkacik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. IST Austria. https://doi.org/10.15479/AT:ISTA:61
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2017 | Journal Article | IST-REx-ID: 720   OA
Humplik, J., & Tkacik, 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: 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., Tkacik, 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 | Journal Article | IST-REx-ID: 947   OA
De Martino, D., Capuani, F., & De Martino, A. (2017). Quantifying the entropic cost of cellular growth control. Physical Review E Statistical Nonlinear and Soft Matter Physics , 96(1). https://doi.org/10.1103/PhysRevE.96.010401
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2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. Physical Review E Statistical Nonlinear and Soft Matter Physics , 95(6), 062419. https://doi.org/10.1103/PhysRevE.95.062419
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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: 823   OA
Colabrese, S., De Martino, D., Leuzzi, L., & Marinari, E. (2017). Phase transitions in integer linear problems. Journal of Statistical Mechanics: Theory and Experiment, 2017(9). https://doi.org/10.1088/1742-5468/aa85c3
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2017 | Journal Article | IST-REx-ID: 943   OA
Zagórski, M. P., Tabata, Y., Brandenberg, N., Lutolf, M., Tkacik, G., Bollenbach, T., … Kicheva, A. (2017). Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science, 356(6345), 1379–1383. https://doi.org/10.1126/science.aam5887
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2017 | Journal Article | IST-REx-ID: 955   OA
Friedlander, T., Prizak, R., Barton, N. H., & Tkacik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications, 8(1), 216. https://doi.org/10.1038/s41467-017-00238-8
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2017 | Journal Article | IST-REx-ID: 993   OA
Levina (Martius), A., & Priesemann, V. (2017). Subsampling scaling. Nature Communications, 8. https://doi.org/10.1038/ncomms15140
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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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2017 | Journal Article | IST-REx-ID: 2016
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
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2017 | Research Data | IST-REx-ID: 5560
Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. IST Austria. https://doi.org/doi:10.15479/AT:ISTA:53
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2017 | Journal Article | IST-REx-ID: 665
Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science, 356(6335), 311–315. https://doi.org/10.1126/science.aaf4762
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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: 1007   OA
Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances. Automatica, 81C, 46–55. https://doi.org/10.1016/j.automatica.2017.03.030
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2017 | Journal Article | IST-REx-ID: 680   OA
Chalk, M. J., Masset, P., Gutkin, B., & Denève, S. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology, 13(6). https://doi.org/10.1371/journal.pcbi.1005582
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2017 | Journal Article | IST-REx-ID: 666
Mitosch, K., Rieckh, G., & Bollenbach, T. (2017). Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems, 4(4), 393–403. https://doi.org/10.1016/j.cels.2017.03.001
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2016 | Thesis | IST-REx-ID: 1128
Rieckh, G. (2016). Studying the complexities of transcriptional regulation. IST Austria.
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2016 | Journal Article | IST-REx-ID: 1197   OA
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkacik, G., & Berry, M. (2016). Error-robust modes of the retinal population code. PLoS Computational Biology, 12(11). https://doi.org/10.1371/journal.pcbi.1005148
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2016 | Journal Article | IST-REx-ID: 1248   OA
Tkacik, G., & Bialek, W. (2016). Information processing in living systems. Annual Review of Condensed Matter Physics, 7, 89–117. https://doi.org/10.1146/annurev-conmatphys-031214-014803
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2016 | Journal Article | IST-REx-ID: 1332   OA
Chait, R. P., Palmer, A., Yelin, I., & Kishony, R. (2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications, 7. https://doi.org/10.1038/ncomms10333
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2016 | Conference Paper | IST-REx-ID: 1320
Lang, M., & Sontag, E. (2016). Scale-invariant systems realize nonlinear differential operators (Vol. 2016–July). Presented at the ACC: American Control Conference, Boston, MA, USA: IEEE. https://doi.org/10.1109/ACC.2016.7526722
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2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, D., Capuani, F., & De Martino, A. (2016). Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli. Physical Biology, 13(3). https://doi.org/10.1088/1478-3975/13/3/036005
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2016 | Conference Paper | IST-REx-ID: 1105
Savin, C., & Tkacik, G. (2016). Estimating nonlinear neural response functions using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information Processing Systems.
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2016 | Conference Paper | IST-REx-ID: 1220   OA
Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764
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2016 | Journal Article | IST-REx-ID: 1270   OA
Hillenbrand, P., Gerland, U., & Tkacik, G. (2016). Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One, 11(9). https://doi.org/10.1371/journal.pone.0163628
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2016 | Journal Article | IST-REx-ID: 1244   OA
Recouvreux, P., Sokolowski, T. R., Grammoustianou, A., Tenwolde, P., & Dogterom, M. (2016). Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells. PNAS, 113(7), 1811–1816. https://doi.org/10.1073/pnas.1419248113
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2016 | Journal Article | IST-REx-ID: 1148
Schilling, C., Bogomolov, S., Henzinger, T. A., Podelski, A., & Ruess, J. (2016). Adaptive moment closure for parameter inference of biochemical reaction networks. Biosystems, 149, 15–25. https://doi.org/10.1016/j.biosystems.2016.07.005
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2016 | Journal Article | IST-REx-ID: 1170
Lang, M., & Stelling, J. (2016). Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing, 38(6), B988–B1008. https://doi.org/10.1137/15M103306X
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2016 | Conference Paper | IST-REx-ID: 1214
Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm (Vol. 2016–November). Presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea: IEEE. https://doi.org/10.1109/IROS.2016.7759138
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2016 | Journal Article | IST-REx-ID: 1290   OA
Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., & Kishony, R. (2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology, 12(11), 902–904. https://doi.org/10.1038/nchembio.2176
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2016 | Journal Article | IST-REx-ID: 1485   OA
De Martino, D. (2016). Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis. Physical Biology, 13(1). https://doi.org/10.1088/1478-3975/13/1/016003
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2016 | Journal Article | IST-REx-ID: 1358
Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkacik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications, 7, 12307. https://doi.org/10.1038/ncomms12307
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2016 | Conference Paper | IST-REx-ID: 948
Monk, T., Savin, C., & Lücke, J. (2016). Neurons equipped with intrinsic plasticity learn stimulus intensity statistics (Vol. 29, pp. 4285–4293). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spaine: Neural Information Processing Systems.
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2016 | Conference Paper | IST-REx-ID: 1082   OA
Chalk, M. J., Marre, O., & Tkacik, G. (2016). Relevant sparse codes with variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information Processing Systems.
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2016 | Journal Article | IST-REx-ID: 1171
Tkacik, G. (2016). Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al. Physics of Life Reviews, 17, 166–167. https://doi.org/10.1016/j.plrev.2016.06.005
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2016 | Journal Article | IST-REx-ID: 1188   OA
De Martino, D., & Masoero, D. (2016). Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment, 2016(12), 123502. https://doi.org/10.1088/1742-5468/aa4e8f
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2016 | Journal Article | IST-REx-ID: 1203   OA
Hu, F., Rishishwar, L., Sivadas, A., Mitchell, G., King, J., Murphy, T., … Wang, X. (2016). Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology, 54(12), 3010–3017. https://doi.org/10.1128/JCM.01511-16
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2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, D. (2016). The dual of the space of interactions in neural network models. International Journal of Modern Physics C, 27(6). https://doi.org/10.1142/S0129183116500674
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2016 | Journal Article | IST-REx-ID: 1342   OA
Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., & Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science, 353(6304), 1147–1151. https://doi.org/10.1126/science.aag0822
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2016 | Journal Article | IST-REx-ID: 1266   OA
Chalk, M. J., Gutkin, B., & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. ELife, 5(2016JULY). https://doi.org/10.7554/eLife.13824
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2016 | Journal Article | IST-REx-ID: 1242   OA
Sokolowski, T. R., Walczak, A., Bialek, W., & Tkacik, G. (2016). Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics, 93(2). https://doi.org/10.1103/PhysRevE.93.022404
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2016 | Journal Article | IST-REx-ID: 1420   OA
Bod’ová, K., Tkacik, G., & Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics, 202(4), 1523–1548. https://doi.org/10.1534/genetics.115.184127
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2015 | Journal Article | IST-REx-ID: 1539   OA
Ruess, J. (2015). Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics, 143(24). https://doi.org/10.1063/1.4937937
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2015 | Journal Article | IST-REx-ID: 1666   OA
Tugrul, M., Paixao, T., Barton, N. H., & Tkacik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics, 11(11). https://doi.org/10.1371/journal.pgen.1005639
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2015 | Journal Article | IST-REx-ID: 1697   OA
Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkacik, G., & Berry, M. (2015). High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology, 11(7). https://doi.org/10.1371/journal.pcbi.1004304
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2015 | Journal Article | IST-REx-ID: 1940   OA
Sokolowski, T. R., & Tkacik, G. (2015). Optimizing information flow in small genetic networks. IV. Spatial coupling. Physical Review E Statistical Nonlinear and Soft Matter Physics, 91(6). https://doi.org/10.1103/PhysRevE.91.062710
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2015 | Journal Article | IST-REx-ID: 1655   OA
Martius, G. S., & Olbrich, E. (2015). Quantifying emergent behavior of autonomous robots. Entropy, 17(10), 7266–7297. https://doi.org/10.3390/e17107266
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2015 | Journal Article | IST-REx-ID: 1701   OA
Tkacik, 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, 112(37), 11508–11513. https://doi.org/10.1073/pnas.1514188112
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2015 | Journal Article | IST-REx-ID: 1827   OA
Friedlander, T., Mayo, A., Tlusty, T., & Alon, U. (2015). Evolution of bow-tie architectures in biology. PLoS Computational Biology, 11(3). https://doi.org/10.1371/journal.pcbi.1004055
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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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2013 | Journal Article | IST-REx-ID: 2913   OA
Tkacik, G., Granot Atedgi, E., Segev, R., & Schneidman, E. (2013). Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters, 110(5). https://doi.org/10.1103/PhysRevLett.110.058104
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2013 | Journal Article | IST-REx-ID: 2850   OA
Tkacik, 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, 2013(3). https://doi.org/10.1088/1742-5468/2013/03/P03011
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2013 | Journal Article | IST-REx-ID: 2863   OA
Granot Atedgi, E., Tkacik, G., Segev, R., & Schneidman, E. (2013). Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology, 9(3). https://doi.org/10.1371/journal.pcbi.1002922
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2013 | Journal Article | IST-REx-ID: 2914   OA
Stephens, G., Mora, T., Tkacik, G., & Bialek, W. (2013). Statistical thermodynamics of natural images. Physical Review Letters, 110(1), 018701. https://doi.org/10.1103/PhysRevLett.110.018701
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2013 | Journal Article | IST-REx-ID: 2851
Berry, M., Tkacik, G., Dubuis, J., Marre, O., & Da Silveira, R. (2013). A simple method for estimating the entropy of neural activity. Journal of Statistical Mechanics Theory and Experiment, 2013(3). https://doi.org/10.1088/1742-5468/2013/03/P03015
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2013 | Journal Article | IST-REx-ID: 2818   OA
Rajan, K., Marre, O., & Tkacik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation, 25(7), 1661–1692. https://doi.org/10.1162/NECO_a_00463
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2013 | Journal Article | IST-REx-ID: 3261   OA
Dubuis, J., Tkacik, G., Wieschaus, E., Gregor, T., & Bialek, W. (2013). Positional information, in bits. PNAS, 110(41), 16301–16308. https://doi.org/10.1073/pnas.1315642110
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2013 | Journal Article | IST-REx-ID: 499
Wakamoto, Y., Dhar, N., Chait, R. P., Schneider, K., Signorino Gelo, F., Leibler, S., & Mckinney, J. (2013). Dynamic persistence of antibiotic-stressed mycobacteria. Science, 339(6115), 91–95. https://doi.org/10.1126/science.1229858
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2012 | Journal Article | IST-REx-ID: 3262   OA
Tkacik, G., Walczak, A., & Bialek, W. (2012). Optimizing information flow in small genetic networks. III. A self-interacting gene. Physical Review E Statistical Nonlinear and Soft Matter Physics , 85(4). https://doi.org/10.1103/PhysRevE.85.041903
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2012 | Journal Article | IST-REx-ID: 3274
Rieckh, G., Kreuzer, W., Waubke, H., & Balazs, P. (2012). A 2.5D-Fourier-BEM model for vibrations in a tunnel running through layered anisotropic soil. Engineering Analysis with Boundary Elements, 36(6), 960–967. https://doi.org/10.1016/j.enganabound.2011.12.014
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2011 | Journal Article | IST-REx-ID: 3384   OA
Tkacik, G., Garrigan, P., Ratliff, C., Milcinski, G., Klein, J., Seyfarth, L., … Balasubramanian, V. (2011). Natural images from the birthplace of the human eye. PLoS One, 6(6). https://doi.org/10.1371/journal.pone.0020409
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2011 | Journal Article | IST-REx-ID: 3374   OA
Tkacik, G., & Walczak, A. (2011). Information transmission in genetic regulatory networks a review. Journal of Physics: Condensed Matter, 23(15). https://doi.org/10.1088/0953-8984/23/15/153102
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