Gasper Tkacik

Tkacik Group

106 Publications

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[106]
2023 | Journal Article | IST-REx-ID: 13127 | OA
Casillas Perez, B. E., Bodova, K., Grasse, A. V., Tkačik, G., & Cremer, S. (2023). Dynamic pathogen detection and social feedback shape collective hygiene in ants. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-38947-y
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[105]
2023 | Journal Article | IST-REx-ID: 12762 | OA
Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00410-9
[Published Version] View | Files available | DOI | arXiv
 
[104]
2023 | Journal Article | IST-REx-ID: 14515 | OA
Reinhardt, M., Tkačik, G., & Ten Wolde, P. R. (2023). Path weight sampling: Exact Monte Carlo computation of the mutual information between stochastic trajectories. Physical Review X. American Physical Society. https://doi.org/10.1103/PhysRevX.13.041017
[Published Version] View | Files available | DOI | arXiv
 
[103]
2023 | Journal Article | IST-REx-ID: 14656 | OA
Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (2023). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience. Society of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0194-23.2023
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[102]
2022 | Journal Article | IST-REx-ID: 12156 | OA
Zoller, B., Gregor, T., & Tkačik, G. (2022). Eukaryotic gene regulation at equilibrium, or non? Current Opinion in Systems Biology. Elsevier. https://doi.org/10.1016/j.coisb.2022.100435
[Published Version] View | Files available | DOI
 
[101]
2022 | Journal Article | IST-REx-ID: 10736 | OA
Lagator, M., Sarikas, S., Steinrueck, M., Toledo-Aparicio, D., Bollback, J. P., Guet, C. C., & Tkačik, G. (2022). Predicting bacterial promoter function and evolution from random sequences. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.64543
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[100]
2022 | Journal Article | IST-REx-ID: 12332 | OA
Mlynarski, W. F., & Tkačik, G. (2022). Efficient coding theory of dynamic attentional modulation. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.3001889
[Published Version] View | Files available | DOI | WoS
 
[99]
2022 | Journal Article | IST-REx-ID: 12081 | OA
Hledik, M., Barton, N. H., & Tkačik, G. (2022). Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2123152119
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[98]
2021 | Preprint | IST-REx-ID: 10912 | OA
Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. https://doi.org/10.48550/ARXIV.2108.06686
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[97]
2021 | Preprint | IST-REx-ID: 10579 | OA
Kavcic, B., & Tkačik, G. (n.d.). Token-driven totally asymmetric simple exclusion process. arXiv. https://doi.org/10.48550/arXiv.2112.13558
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[96]
2021 | Journal Article | IST-REx-ID: 9226 | OA
Tkačik, G., & Gregor, T. (2021). The many bits of positional information. Development. The Company of Biologists. https://doi.org/10.1242/dev.176065
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[95]
2021 | Journal Article | IST-REx-ID: 9362 | OA
Chalk, M. J., Tkačik, G., & Marre, O. (2021). Inferring the function performed by a recurrent neural network. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0248940
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[94]
2021 | Journal Article | IST-REx-ID: 8997 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2021). Minimal biophysical model of combined antibiotic action. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1008529
[Published Version] View | Files available | DOI | WoS
 
[93]
2021 | Journal Article | IST-REx-ID: 7553 | OA
Mlynarski, W. F., Hledik, M., Sokolowski, T. R., & Tkačik, G. (2021). Statistical analysis and optimality of neural systems. Neuron. Cell Press. https://doi.org/10.1016/j.neuron.2021.01.020
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[92]
2021 | Preprint | IST-REx-ID: 10077 | OA
Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (n.d.). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.09.28.460602
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[91]
2020 | Journal Article | IST-REx-ID: 7656 | OA
Berry, M. J., & Tkačik, G. (2020). Clustering of neural activity: A design principle for population codes. Frontiers in Computational Neuroscience. Frontiers. https://doi.org/10.3389/fncom.2020.00020
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[90]
2020 | Journal Article | IST-REx-ID: 8698 | OA
Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020). Learning probabilistic neural representations with randomly connected circuits. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.1912804117
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[89]
2020 | Journal Article | IST-REx-ID: 9000 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Nonequilibrium models of optimal enhancer function. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.2006731117
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[88]
2020 | Preprint | IST-REx-ID: 7675 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Normative models of enhancer function. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.08.029405
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[87]
2020 | Journal Article | IST-REx-ID: 8250 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2020). Mechanisms of drug interactions between translation-inhibiting antibiotics. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-17734-z
[Published Version] View | Files available | DOI | WoS
 
[86]
2020 | Preprint | IST-REx-ID: 7673 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2020). A minimal biophysical model of combined antibiotic action. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.18.047886
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[85]
2020 | Journal Article | IST-REx-ID: 7652 | OA
Tomanek, I., Grah, R., Lagator, M., Andersson, A. M. C., Bollback, J. P., Tkačik, G., & Guet, C. C. (2020). Gene amplification as a form of population-level gene expression regulation. Nature Ecology & Evolution. Springer Nature. https://doi.org/10.1038/s41559-020-1132-7
[Submitted Version] View | Files available | DOI | WoS
 
[84]
2019 | Preprint | IST-REx-ID: 7552 | OA
Bialek, W., Gregor, T., & Tkačik, G. (n.d.). Action at a distance in transcriptional regulation. arXiv:1912.08579. ArXiv.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[83]
2019 | Journal Article | IST-REx-ID: 5945 | OA
Petkova, M. D., Tkačik, G., Bialek, W., Wieschaus, E. F., & Gregor, T. (2019). Optimal decoding of cellular identities in a genetic network. Cell. Cell Press. https://doi.org/10.1016/j.cell.2019.01.007
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 
[82]
2019 | Journal Article | IST-REx-ID: 6784 | OA
Ruess, J., Pleska, M., Guet, C. C., & Tkačik, G. (2019). Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007168
[Published Version] View | Files available | DOI | WoS
 
[81]
2019 | Research Data Reference | IST-REx-ID: 9786
Ruess, J., Pleska, M., Guet, C. C., & Tkačik, G. (2019). Supporting text and results. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007168.s001
[Published Version] View | Files available | DOI
 
[80]
2019 | Journal Article | IST-REx-ID: 6900 | OA
Cepeda Humerez, S. A., Ruess, J., & Tkačik, G. (2019). Estimating information in time-varying signals. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007290
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[79]
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
 
[78]
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
 
[77]
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
 
[76]
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
 
[75]
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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[74]
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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[73]
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
 
[72]
2018 | Research Data | IST-REx-ID: 5584 | OA
Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98
[Published Version] View | Files available | DOI
 
[71]
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
 
[70]
2018 | Research Data | IST-REx-ID: 5587 | OA
De Martino, D., & Tkačik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:62
[Published Version] View | Files available | DOI
 
[69]
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
 
[68]
2018 | Research Data | IST-REx-ID: 5585 | OA
Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
[Published Version] View | Files available | DOI
 
[67]
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
 
[66]
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
 
[65]
2017 | Journal Article | IST-REx-ID: 725 | OA
Harpaz, R., Tkačik, G., & Schneidman, E. (2017). Discrete modes of social information processing predict individual behavior of fish in a group. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1703817114
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[64]
2017 | Research Data Reference | IST-REx-ID: 9709 | OA
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M. (2017). Data from: Error-robust modes of the retinal population code. Dryad. https://doi.org/10.5061/dryad.1f1rc
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[63]
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. Nature Publishing Group. https://doi.org/10.1038/s41467-017-02159-y
[Published Version] View | Files available | DOI | WoS
 
[62]
2017 | Journal Article | IST-REx-ID: 955 | OA
Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
[Published Version] View | Files available | DOI | WoS
 
[61]
2017 | Journal Article | IST-REx-ID: 943 | OA
Zagórski, M. P., Tabata, Y., Brandenberg, N., Lutolf, M., Tkačik, G., Bollenbach, T., … Kicheva, A. (2017). Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aam5887
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[60]
2017 | Journal Article | IST-REx-ID: 730
Savin, C., & Tkačik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2017.08.001
View | DOI | WoS
 
[59]
2017 | Research Data | IST-REx-ID: 5562 | OA
Marre, O., Tkačik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:61
[Published Version] View | Files available | DOI
 
[58]
2017 | Research Data | IST-REx-ID: 5560 | OA
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. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:53
[Published Version] View | Files available | DOI
 
[57]
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. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
View | Files available | DOI
 
[56]
2016 | Conference Paper | IST-REx-ID: 1082 | OA
Chalk, M. J., Marre, O., & Tkačik, 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.
[Preprint] View | Files available | Download Preprint (ext.)
 
[55]
2016 | Conference Paper | IST-REx-ID: 1105
Savin, C., & Tkačik, 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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[54]
2016 | Journal Article | IST-REx-ID: 1171
Tkačik, 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. Elsevier. https://doi.org/10.1016/j.plrev.2016.06.005
View | DOI
 
[53]
2016 | Journal Article | IST-REx-ID: 1242 | OA
Sokolowski, T. R., Walczak, A., Bialek, W., & Tkačik, G. (2016). Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.93.022404
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[52]
2016 | Journal Article | IST-REx-ID: 1248 | OA
Tkačik, G., & Bialek, W. (2016). Information processing in living systems. Annual Review of Condensed Matter Physics. Annual Reviews. https://doi.org/10.1146/annurev-conmatphys-031214-014803
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[51]
2016 | Journal Article | IST-REx-ID: 1420 | OA
Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184127
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[50]
2016 | Journal Article | IST-REx-ID: 1197 | OA
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M. (2016). Error-robust modes of the retinal population code. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005148
[Published Version] View | Files available | DOI
 
[49]
2016 | Journal Article | IST-REx-ID: 1270 | OA
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628
[Published Version] View | Files available | DOI
 
[48]
2016 | Research Data Reference | IST-REx-ID: 9870
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Computation of positional information in an Ising model. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s002
[Published Version] View | Files available | DOI
 
[47]
2016 | Research Data Reference | IST-REx-ID: 9869
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Error bound on an estimator of position. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s001
[Published Version] View | Files available | DOI
 
[46]
2016 | Research Data Reference | IST-REx-ID: 9871
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Computation of positional information in a discrete morphogen field. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s003
[Published Version] View | Files available | DOI
 
[45]
2016 | Journal Article | IST-REx-ID: 1358 | OA
Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms12307
[Published Version] View | Files available | DOI
 
[44]
2015 | Journal Article | IST-REx-ID: 1697 | OA
Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkačik, 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
[Published Version] View | Files available | DOI
 
[43]
2015 | Journal Article | IST-REx-ID: 1701 | OA
Tkačik, 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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[42]
2015 | Journal Article | IST-REx-ID: 1885 | OA
Tkačik, 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
[Preprint] View | DOI | Download Preprint (ext.)
 
[41]
2015 | Journal Article | IST-REx-ID: 1940 | OA
Sokolowski, T. R., & Tkačik, 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
[Preprint] View | DOI | Download Preprint (ext.)
 
[40]
2015 | Research Data Reference | IST-REx-ID: 9712
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness models for comparison & for interacting TFBSs. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639.s001
[Published Version] View | Files available | DOI
 
[39]
2015 | Journal Article | IST-REx-ID: 1666 | OA
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639
[Published Version] View | Files available | DOI
 
[38]
2015 | Journal Article | IST-REx-ID: 1576 | OA
Cepeda Humerez, S. A., Rieckh, G., & Tkačik, G. (2015). Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.115.248101
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[37]
2014 | Journal Article | IST-REx-ID: 1886 | OA
Hermundstad, A., Briguglio, J., Conte, M., Victor, J., Balasubramanian, V., & Tkačik, G. (2014). Variance predicts salience in central sensory processing. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.03722
[Published Version] View | Files available | DOI
 
[36]
2014 | Journal Article | IST-REx-ID: 2231 | OA
Rieckh, G., & Tkačik, G. (2014). Noise and information transmission in promoters with multiple internal states. Biophysical Journal. Biophysical Society. https://doi.org/10.1016/j.bpj.2014.01.014
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[35]
2014 | Journal Article | IST-REx-ID: 3263 | OA
Tkačik, G., Ghosh, A., Schneidman, E., & Segev, R. (2014). Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0085841
[Published Version] View | Files available | DOI
 
[34]
2014 | Research Data Reference | IST-REx-ID: 9752 | OA
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2014). Data from: Transformation of stimulus correlations by the retina. Dryad. https://doi.org/10.5061/dryad.246qg
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[33]
2014 | Journal Article | IST-REx-ID: 2257 | OA
Tkačik, 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. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003408
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[32]
2013 | Journal Article | IST-REx-ID: 2818 | OA
Rajan, K., Marre, O., & Tkačik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. MIT Press . https://doi.org/10.1162/NECO_a_00463
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[31]
2013 | Journal Article | IST-REx-ID: 2850 | OA
Tkačik, 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. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/03/P03011
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[30]
2013 | Journal Article | IST-REx-ID: 2851
Berry, M., Tkačik, 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. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/03/P03015
View | DOI
 
[29]
2013 | Journal Article | IST-REx-ID: 2863 | OA
Granot Atedgi, E., Tkačik, G., Segev, R., & Schneidman, E. (2013). Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1002922
[Published Version] View | Files available | DOI
 
[28]
2013 | Journal Article | IST-REx-ID: 2913 | OA
Tkačik, G., Granot Atedgi, E., Segev, R., & Schneidman, E. (2013). Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.110.058104
[Preprint] View | DOI | Download Preprint (ext.)
 
[27]
2013 | Journal Article | IST-REx-ID: 3261 | OA
Dubuis, J., Tkačik, G., Wieschaus, E., Gregor, T., & Bialek, W. (2013). Positional information, in bits. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1315642110
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[26]
2013 | Journal Article | IST-REx-ID: 2277 | OA
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2013). Transformation of stimulus correlations by the retina. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003344
[Published Version] View | Files available | DOI
 
[25]
2013 | Journal Article | IST-REx-ID: 2914 | OA
Stephens, G., Mora, T., Tkačik, G., & Bialek, W. (2013). Statistical thermodynamics of natural images. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.110.018701
[Published Version] View | Files available | DOI | arXiv
 
[24]
2012 | Journal Article | IST-REx-ID: 3262 | OA
Tkačik, 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 . American Institute of Physics. https://doi.org/10.1103/PhysRevE.85.041903
[Preprint] View | DOI | Download Preprint (ext.)
 
[23]
2011 | Journal Article | IST-REx-ID: 3374 | OA
Tkačik, G., & Walczak, A. (2011). Information transmission in genetic regulatory networks a review. Journal of Physics: Condensed Matter. IOP Publishing Ltd. https://doi.org/10.1088/0953-8984/23/15/153102
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[22]
2011 | Journal Article | IST-REx-ID: 3276 | OA
Prentice, J., Homann, J., Simmons, K., Tkačik, G., Balasubramanian, V., & Nelson, P. (2011). Fast, scalable, Bayesian spike identification for multi-electrode arrays. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0019884
View | Files available | DOI
 
[21]
2011 | Journal Article | IST-REx-ID: 3384 | OA
Tkačik, 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. Public Library of Science. https://doi.org/10.1371/journal.pone.0020409
[Published Version] View | Files available | DOI
 
[20]
2011 | Journal Article | IST-REx-ID: 3401
Little, S., Tkačik, G., Kneeland, T., Wieschaus, E., & Gregor, T. (2011). The formation of the Bicoid morphogen gradient requires protein movement from anteriorly localized source. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.1000596
View | DOI
 
[19]
2010 | Journal Article | IST-REx-ID: 3735
Tkačik, G., Prentice, J., Victor, J., & Balasubramanian, V. (2010). Local statistics in natural scenes predict the saliency of synthetic textures. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0914916107
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[18]
2010 | Journal Article | IST-REx-ID: 3736
Tkačik, G., Prentice, J., Balasubramanian, V., & Schneidman, E. (2010). Optimal population coding by noisy spiking neurons. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1004906107
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[17]
2010 | Journal Article | IST-REx-ID: 3738
Walczak, A., Tkačik, G., & Bialek, W. (2010). Optimizing information flow in small genetic networks. II. Feed-forward interactions. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.81.041905
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[16]
2010 | Conference Paper | IST-REx-ID: 3430 | OA
Tkačik, G. (2010). Lecture notes for 2010 summer school on Quantitative Evolutionary and Comparative Genomics. Presented at the Summer School on Quantitative Evolutionary and Comparative Genomics, Elsevier.
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[15]
2010 | Preprint | IST-REx-ID: 3743 | OA
Tkačik, G. (2010). From statistical mechanics to information theory: understanding biophysical information-processing systems. ArXiv. ArXiv.
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[14]
2009 | Journal Article | IST-REx-ID: 3737
Tkačik, G., Walczak, A., & Bialek, W. (2009). Optimizing information flow in small genetic networks. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.80.031920
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[13]
2009 | Journal Article | IST-REx-ID: 3733
Kryazhimskiy, S., Tkačik, G., & Plotkin, J. (2009). The dynamics of adaptation on correlated fitness landscapes. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0905497106
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[12]
2009 | Preprint | IST-REx-ID: 3732 | OA
Tkačik, G., Schneidman, E., Berry, M., & Bialek, W. (2009). Spin glass models for a network of real neurons. ArXiv. ArXiv.
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[11]
2009 | Book Chapter | IST-REx-ID: 3747
Tkačik, G., & Bialek, W. (2009). Cell Biology: Networks, regulation, pathways. In R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science (pp. 719–741). Springer. https://doi.org/10.1007/978-0-387-30440-3_48
View | DOI
 
[10]
2009 | Journal Article | IST-REx-ID: 3745
Tkačik, G., & Bialek, W. (2009). Diffusion, dimensionality, and noise in transcriptional regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.79.051901
View | DOI
 
[9]
2008 | Journal Article | IST-REx-ID: 3734 | OA
Tkačik, G., Gregor, T., & Bialek, W. (2008). The role of input noise in transcriptional regulation. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0002774
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[8]
2008 | Journal Article | IST-REx-ID: 3739
Tkačik, G., Callan, C., & Bialek, W. (2008). Information capacity of genetic regulatory elements. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.78.011910
View | DOI
 
[7]
2008 | Journal Article | IST-REx-ID: 3740 | OA
Tkačik, G., Callan, C., & Bialek, W. (2008). Information flow and optimization in transcriptional regulation. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0806077105
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[6]
2008 | Journal Article | IST-REx-ID: 3744 | OA
Tkačik, G., & Magnasco, M. (2008). Decoding spike timing: The differential reverse-correlation method. Biosystems. Elsevier. https://doi.org/10.1016/j.biosystems.2008.04.011
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[5]
2007 | Journal Article | IST-REx-ID: 3731
Kinney, J., Tkačik, G., & Callan, C. (2007). Precise physical models of protein-DNA interaction from high-throughput data. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0609908104
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[4]
2007 | Preprint | IST-REx-ID: 3742 | OA
Broderick, T., Dudik, M., Tkačik, G., Schapire, R., & Bialek, W. (2007). Faster solutions of the inverse pairwise Ising problem. ArXiv. ArXiv.
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[3]
2006 | Preprint | IST-REx-ID: 3431 | OA
Tkačik, G., Schneidman, E., Berry, M., & Bialek, W. (2006). Ising models for networks of real neurons. ArXiv. ArXiv.
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[2]
2005 | Journal Article | IST-REx-ID: 3741 | OA
Slonim, N., Atwal, G., Tkačik, G., & Bialek, W. (2005). Information-based clustering. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0507432102
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[1]
2005 | Preprint | IST-REx-ID: 3746 | OA
Slonim, N., Atwal, G., Tkačik, G., & Bialek, W. (2005). Estimating mutual information and multi-information in large networks. ArXiv. ArXiv.
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[106]
2023 | Journal Article | IST-REx-ID: 13127 | OA
Casillas Perez, B. E., Bodova, K., Grasse, A. V., Tkačik, G., & Cremer, S. (2023). Dynamic pathogen detection and social feedback shape collective hygiene in ants. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-38947-y
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[105]
2023 | Journal Article | IST-REx-ID: 12762 | OA
Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00410-9
[Published Version] View | Files available | DOI | arXiv
 
[104]
2023 | Journal Article | IST-REx-ID: 14515 | OA
Reinhardt, M., Tkačik, G., & Ten Wolde, P. R. (2023). Path weight sampling: Exact Monte Carlo computation of the mutual information between stochastic trajectories. Physical Review X. American Physical Society. https://doi.org/10.1103/PhysRevX.13.041017
[Published Version] View | Files available | DOI | arXiv
 
[103]
2023 | Journal Article | IST-REx-ID: 14656 | OA
Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (2023). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience. Society of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0194-23.2023
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[102]
2022 | Journal Article | IST-REx-ID: 12156 | OA
Zoller, B., Gregor, T., & Tkačik, G. (2022). Eukaryotic gene regulation at equilibrium, or non? Current Opinion in Systems Biology. Elsevier. https://doi.org/10.1016/j.coisb.2022.100435
[Published Version] View | Files available | DOI
 
[101]
2022 | Journal Article | IST-REx-ID: 10736 | OA
Lagator, M., Sarikas, S., Steinrueck, M., Toledo-Aparicio, D., Bollback, J. P., Guet, C. C., & Tkačik, G. (2022). Predicting bacterial promoter function and evolution from random sequences. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.64543
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[100]
2022 | Journal Article | IST-REx-ID: 12332 | OA
Mlynarski, W. F., & Tkačik, G. (2022). Efficient coding theory of dynamic attentional modulation. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.3001889
[Published Version] View | Files available | DOI | WoS
 
[99]
2022 | Journal Article | IST-REx-ID: 12081 | OA
Hledik, M., Barton, N. H., & Tkačik, G. (2022). Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2123152119
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[98]
2021 | Preprint | IST-REx-ID: 10912 | OA
Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. https://doi.org/10.48550/ARXIV.2108.06686
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[97]
2021 | Preprint | IST-REx-ID: 10579 | OA
Kavcic, B., & Tkačik, G. (n.d.). Token-driven totally asymmetric simple exclusion process. arXiv. https://doi.org/10.48550/arXiv.2112.13558
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[96]
2021 | Journal Article | IST-REx-ID: 9226 | OA
Tkačik, G., & Gregor, T. (2021). The many bits of positional information. Development. The Company of Biologists. https://doi.org/10.1242/dev.176065
[Published Version] View | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 
[95]
2021 | Journal Article | IST-REx-ID: 9362 | OA
Chalk, M. J., Tkačik, G., & Marre, O. (2021). Inferring the function performed by a recurrent neural network. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0248940
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[94]
2021 | Journal Article | IST-REx-ID: 8997 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2021). Minimal biophysical model of combined antibiotic action. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1008529
[Published Version] View | Files available | DOI | WoS
 
[93]
2021 | Journal Article | IST-REx-ID: 7553 | OA
Mlynarski, W. F., Hledik, M., Sokolowski, T. R., & Tkačik, G. (2021). Statistical analysis and optimality of neural systems. Neuron. Cell Press. https://doi.org/10.1016/j.neuron.2021.01.020
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[92]
2021 | Preprint | IST-REx-ID: 10077 | OA
Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (n.d.). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.09.28.460602
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[91]
2020 | Journal Article | IST-REx-ID: 7656 | OA
Berry, M. J., & Tkačik, G. (2020). Clustering of neural activity: A design principle for population codes. Frontiers in Computational Neuroscience. Frontiers. https://doi.org/10.3389/fncom.2020.00020
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[90]
2020 | Journal Article | IST-REx-ID: 8698 | OA
Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020). Learning probabilistic neural representations with randomly connected circuits. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.1912804117
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[89]
2020 | Journal Article | IST-REx-ID: 9000 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Nonequilibrium models of optimal enhancer function. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.2006731117
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[88]
2020 | Preprint | IST-REx-ID: 7675 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Normative models of enhancer function. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.08.029405
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[87]
2020 | Journal Article | IST-REx-ID: 8250 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2020). Mechanisms of drug interactions between translation-inhibiting antibiotics. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-17734-z
[Published Version] View | Files available | DOI | WoS
 
[86]
2020 | Preprint | IST-REx-ID: 7673 | OA
Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2020). A minimal biophysical model of combined antibiotic action. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.18.047886
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[85]
2020 | Journal Article | IST-REx-ID: 7652 | OA
Tomanek, I., Grah, R., Lagator, M., Andersson, A. M. C., Bollback, J. P., Tkačik, G., & Guet, C. C. (2020). Gene amplification as a form of population-level gene expression regulation. Nature Ecology & Evolution. Springer Nature. https://doi.org/10.1038/s41559-020-1132-7
[Submitted Version] View | Files available | DOI | WoS
 
[84]
2019 | Preprint | IST-REx-ID: 7552 | OA
Bialek, W., Gregor, T., & Tkačik, G. (n.d.). Action at a distance in transcriptional regulation. arXiv:1912.08579. ArXiv.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[83]
2019 | Journal Article | IST-REx-ID: 5945 | OA
Petkova, M. D., Tkačik, G., Bialek, W., Wieschaus, E. F., & Gregor, T. (2019). Optimal decoding of cellular identities in a genetic network. Cell. Cell Press. https://doi.org/10.1016/j.cell.2019.01.007
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 
[82]
2019 | Journal Article | IST-REx-ID: 6784 | OA
Ruess, J., Pleska, M., Guet, C. C., & Tkačik, G. (2019). Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007168
[Published Version] View | Files available | DOI | WoS
 
[81]
2019 | Research Data Reference | IST-REx-ID: 9786
Ruess, J., Pleska, M., Guet, C. C., & Tkačik, G. (2019). Supporting text and results. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007168.s001
[Published Version] View | Files available | DOI
 
[80]
2019 | Journal Article | IST-REx-ID: 6900 | OA
Cepeda Humerez, S. A., Ruess, J., & Tkačik, G. (2019). Estimating information in time-varying signals. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007290
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[79]
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
 
[78]
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
 
[77]
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
 
[76]
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
 
[75]
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
[Preprint] View | DOI | Download Preprint (ext.) | WoS
 
[74]
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[73]
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
 
[72]
2018 | Research Data | IST-REx-ID: 5584 | OA
Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98
[Published Version] View | Files available | DOI
 
[71]
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
 
[70]
2018 | Research Data | IST-REx-ID: 5587 | OA
De Martino, D., & Tkačik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:62
[Published Version] View | Files available | DOI
 
[69]
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
 
[68]
2018 | Research Data | IST-REx-ID: 5585 | OA
Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
[Published Version] View | Files available | DOI
 
[67]
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
 
[66]
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
 
[65]
2017 | Journal Article | IST-REx-ID: 725 | OA
Harpaz, R., Tkačik, G., & Schneidman, E. (2017). Discrete modes of social information processing predict individual behavior of fish in a group. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1703817114
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[64]
2017 | Research Data Reference | IST-REx-ID: 9709 | OA
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M. (2017). Data from: Error-robust modes of the retinal population code. Dryad. https://doi.org/10.5061/dryad.1f1rc
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[63]
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. Nature Publishing Group. https://doi.org/10.1038/s41467-017-02159-y
[Published Version] View | Files available | DOI | WoS
 
[62]
2017 | Journal Article | IST-REx-ID: 955 | OA
Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
[Published Version] View | Files available | DOI | WoS
 
[61]
2017 | Journal Article | IST-REx-ID: 943 | OA
Zagórski, M. P., Tabata, Y., Brandenberg, N., Lutolf, M., Tkačik, G., Bollenbach, T., … Kicheva, A. (2017). Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aam5887
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
[60]
2017 | Journal Article | IST-REx-ID: 730
Savin, C., & Tkačik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2017.08.001
View | DOI | WoS
 
[59]
2017 | Research Data | IST-REx-ID: 5562 | OA
Marre, O., Tkačik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:61
[Published Version] View | Files available | DOI
 
[58]
2017 | Research Data | IST-REx-ID: 5560 | OA
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. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:53
[Published Version] View | Files available | DOI
 
[57]
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. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
View | Files available | DOI
 
[56]
2016 | Conference Paper | IST-REx-ID: 1082 | OA
Chalk, M. J., Marre, O., & Tkačik, 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.
[Preprint] View | Files available | Download Preprint (ext.)
 
[55]
2016 | Conference Paper | IST-REx-ID: 1105
Savin, C., & Tkačik, 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.
View | Download None (ext.)
 
[54]
2016 | Journal Article | IST-REx-ID: 1171
Tkačik, 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. Elsevier. https://doi.org/10.1016/j.plrev.2016.06.005
View | DOI
 
[53]
2016 | Journal Article | IST-REx-ID: 1242 | OA
Sokolowski, T. R., Walczak, A., Bialek, W., & Tkačik, G. (2016). Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.93.022404
[Preprint] View | DOI | Download Preprint (ext.)
 
[52]
2016 | Journal Article | IST-REx-ID: 1248 | OA
Tkačik, G., & Bialek, W. (2016). Information processing in living systems. Annual Review of Condensed Matter Physics. Annual Reviews. https://doi.org/10.1146/annurev-conmatphys-031214-014803
[Preprint] View | DOI | Download Preprint (ext.)
 
[51]
2016 | Journal Article | IST-REx-ID: 1420 | OA
Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184127
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[50]
2016 | Journal Article | IST-REx-ID: 1197 | OA
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M. (2016). Error-robust modes of the retinal population code. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005148
[Published Version] View | Files available | DOI
 
[49]
2016 | Journal Article | IST-REx-ID: 1270 | OA
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628
[Published Version] View | Files available | DOI
 
[48]
2016 | Research Data Reference | IST-REx-ID: 9870
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Computation of positional information in an Ising model. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s002
[Published Version] View | Files available | DOI
 
[47]
2016 | Research Data Reference | IST-REx-ID: 9869
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Error bound on an estimator of position. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s001
[Published Version] View | Files available | DOI
 
[46]
2016 | Research Data Reference | IST-REx-ID: 9871
Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Computation of positional information in a discrete morphogen field. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628.s003
[Published Version] View | Files available | DOI
 
[45]
2016 | Journal Article | IST-REx-ID: 1358 | OA
Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms12307
[Published Version] View | Files available | DOI
 
[44]
2015 | Journal Article | IST-REx-ID: 1697 | OA
Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkačik, 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
[Published Version] View | Files available | DOI
 
[43]
2015 | Journal Article | IST-REx-ID: 1701 | OA
Tkačik, 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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[42]
2015 | Journal Article | IST-REx-ID: 1885 | OA
Tkačik, 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
[Preprint] View | DOI | Download Preprint (ext.)
 
[41]
2015 | Journal Article | IST-REx-ID: 1940 | OA
Sokolowski, T. R., & Tkačik, 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
[Preprint] View | DOI | Download Preprint (ext.)
 
[40]
2015 | Research Data Reference | IST-REx-ID: 9712
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness models for comparison & for interacting TFBSs. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639.s001
[Published Version] View | Files available | DOI
 
[39]
2015 | Journal Article | IST-REx-ID: 1666 | OA
Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639
[Published Version] View | Files available | DOI
 
[38]
2015 | Journal Article | IST-REx-ID: 1576 | OA
Cepeda Humerez, S. A., Rieckh, G., & Tkačik, G. (2015). Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.115.248101
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[37]
2014 | Journal Article | IST-REx-ID: 1886 | OA
Hermundstad, A., Briguglio, J., Conte, M., Victor, J., Balasubramanian, V., & Tkačik, G. (2014). Variance predicts salience in central sensory processing. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.03722
[Published Version] View | Files available | DOI
 
[36]
2014 | Journal Article | IST-REx-ID: 2231 | OA
Rieckh, G., & Tkačik, G. (2014). Noise and information transmission in promoters with multiple internal states. Biophysical Journal. Biophysical Society. https://doi.org/10.1016/j.bpj.2014.01.014
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[35]
2014 | Journal Article | IST-REx-ID: 3263 | OA
Tkačik, G., Ghosh, A., Schneidman, E., & Segev, R. (2014). Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0085841
[Published Version] View | Files available | DOI
 
[34]
2014 | Research Data Reference | IST-REx-ID: 9752 | OA
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2014). Data from: Transformation of stimulus correlations by the retina. Dryad. https://doi.org/10.5061/dryad.246qg
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[33]
2014 | Journal Article | IST-REx-ID: 2257 | OA
Tkačik, 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. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003408
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[32]
2013 | Journal Article | IST-REx-ID: 2818 | OA
Rajan, K., Marre, O., & Tkačik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. MIT Press . https://doi.org/10.1162/NECO_a_00463
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[31]
2013 | Journal Article | IST-REx-ID: 2850 | OA
Tkačik, 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. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/03/P03011
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[30]
2013 | Journal Article | IST-REx-ID: 2851
Berry, M., Tkačik, 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. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/03/P03015
View | DOI
 
[29]
2013 | Journal Article | IST-REx-ID: 2863 | OA
Granot Atedgi, E., Tkačik, G., Segev, R., & Schneidman, E. (2013). Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1002922
[Published Version] View | Files available | DOI
 
[28]
2013 | Journal Article | IST-REx-ID: 2913 | OA
Tkačik, G., Granot Atedgi, E., Segev, R., & Schneidman, E. (2013). Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.110.058104
[Preprint] View | DOI | Download Preprint (ext.)
 
[27]
2013 | Journal Article | IST-REx-ID: 3261 | OA
Dubuis, J., Tkačik, G., Wieschaus, E., Gregor, T., & Bialek, W. (2013). Positional information, in bits. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1315642110
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[26]
2013 | Journal Article | IST-REx-ID: 2277 | OA
Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2013). Transformation of stimulus correlations by the retina. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003344
[Published Version] View | Files available | DOI
 
[25]
2013 | Journal Article | IST-REx-ID: 2914 | OA
Stephens, G., Mora, T., Tkačik, G., & Bialek, W. (2013). Statistical thermodynamics of natural images. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.110.018701
[Published Version] View | Files available | DOI | arXiv
 
[24]
2012 | Journal Article | IST-REx-ID: 3262 | OA
Tkačik, 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 . American Institute of Physics. https://doi.org/10.1103/PhysRevE.85.041903
[Preprint] View | DOI | Download Preprint (ext.)
 
[23]
2011 | Journal Article | IST-REx-ID: 3374 | OA
Tkačik, G., & Walczak, A. (2011). Information transmission in genetic regulatory networks a review. Journal of Physics: Condensed Matter. IOP Publishing Ltd. https://doi.org/10.1088/0953-8984/23/15/153102
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[22]
2011 | Journal Article | IST-REx-ID: 3276 | OA
Prentice, J., Homann, J., Simmons, K., Tkačik, G., Balasubramanian, V., & Nelson, P. (2011). Fast, scalable, Bayesian spike identification for multi-electrode arrays. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0019884
View | Files available | DOI
 
[21]
2011 | Journal Article | IST-REx-ID: 3384 | OA
Tkačik, 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. Public Library of Science. https://doi.org/10.1371/journal.pone.0020409
[Published Version] View | Files available | DOI
 
[20]
2011 | Journal Article | IST-REx-ID: 3401
Little, S., Tkačik, G., Kneeland, T., Wieschaus, E., & Gregor, T. (2011). The formation of the Bicoid morphogen gradient requires protein movement from anteriorly localized source. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.1000596
View | DOI
 
[19]
2010 | Journal Article | IST-REx-ID: 3735
Tkačik, G., Prentice, J., Victor, J., & Balasubramanian, V. (2010). Local statistics in natural scenes predict the saliency of synthetic textures. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0914916107
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[18]
2010 | Journal Article | IST-REx-ID: 3736
Tkačik, G., Prentice, J., Balasubramanian, V., & Schneidman, E. (2010). Optimal population coding by noisy spiking neurons. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1004906107
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[17]
2010 | Journal Article | IST-REx-ID: 3738
Walczak, A., Tkačik, G., & Bialek, W. (2010). Optimizing information flow in small genetic networks. II. Feed-forward interactions. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.81.041905
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[16]
2010 | Conference Paper | IST-REx-ID: 3430 | OA
Tkačik, G. (2010). Lecture notes for 2010 summer school on Quantitative Evolutionary and Comparative Genomics. Presented at the Summer School on Quantitative Evolutionary and Comparative Genomics, Elsevier.
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[15]
2010 | Preprint | IST-REx-ID: 3743 | OA
Tkačik, G. (2010). From statistical mechanics to information theory: understanding biophysical information-processing systems. ArXiv. ArXiv.
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[14]
2009 | Journal Article | IST-REx-ID: 3737
Tkačik, G., Walczak, A., & Bialek, W. (2009). Optimizing information flow in small genetic networks. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.80.031920
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[13]
2009 | Journal Article | IST-REx-ID: 3733
Kryazhimskiy, S., Tkačik, G., & Plotkin, J. (2009). The dynamics of adaptation on correlated fitness landscapes. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0905497106
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[12]
2009 | Preprint | IST-REx-ID: 3732 | OA
Tkačik, G., Schneidman, E., Berry, M., & Bialek, W. (2009). Spin glass models for a network of real neurons. ArXiv. ArXiv.
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[11]
2009 | Book Chapter | IST-REx-ID: 3747
Tkačik, G., & Bialek, W. (2009). Cell Biology: Networks, regulation, pathways. In R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science (pp. 719–741). Springer. https://doi.org/10.1007/978-0-387-30440-3_48
View | DOI
 
[10]
2009 | Journal Article | IST-REx-ID: 3745
Tkačik, G., & Bialek, W. (2009). Diffusion, dimensionality, and noise in transcriptional regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.79.051901
View | DOI
 
[9]
2008 | Journal Article | IST-REx-ID: 3734 | OA
Tkačik, G., Gregor, T., & Bialek, W. (2008). The role of input noise in transcriptional regulation. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0002774
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[8]
2008 | Journal Article | IST-REx-ID: 3739
Tkačik, G., Callan, C., & Bialek, W. (2008). Information capacity of genetic regulatory elements. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.78.011910
View | DOI
 
[7]
2008 | Journal Article | IST-REx-ID: 3740 | OA
Tkačik, G., Callan, C., & Bialek, W. (2008). Information flow and optimization in transcriptional regulation. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0806077105
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[6]
2008 | Journal Article | IST-REx-ID: 3744 | OA
Tkačik, G., & Magnasco, M. (2008). Decoding spike timing: The differential reverse-correlation method. Biosystems. Elsevier. https://doi.org/10.1016/j.biosystems.2008.04.011
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[5]
2007 | Journal Article | IST-REx-ID: 3731
Kinney, J., Tkačik, G., & Callan, C. (2007). Precise physical models of protein-DNA interaction from high-throughput data. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0609908104
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[4]
2007 | Preprint | IST-REx-ID: 3742 | OA
Broderick, T., Dudik, M., Tkačik, G., Schapire, R., & Bialek, W. (2007). Faster solutions of the inverse pairwise Ising problem. ArXiv. ArXiv.
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[3]
2006 | Preprint | IST-REx-ID: 3431 | OA
Tkačik, G., Schneidman, E., Berry, M., & Bialek, W. (2006). Ising models for networks of real neurons. ArXiv. ArXiv.
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[2]
2005 | Journal Article | IST-REx-ID: 3741 | OA
Slonim, N., Atwal, G., Tkačik, G., & Bialek, W. (2005). Information-based clustering. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0507432102
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[1]
2005 | Preprint | IST-REx-ID: 3746 | OA
Slonim, N., Atwal, G., Tkačik, G., & Bialek, W. (2005). Estimating mutual information and multi-information in large networks. ArXiv. ArXiv.
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