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Krishnan Iyer

Céline Camila Coraly Bräutigam

Puzhen Xia

Julian Renaud

Elia Mascolo

Tetiana Rabiichuk

Gasper Tkacik

Athina Diakogianni

Tereza Zuskinova

Reka Borbely

Bjoern Kscheschinski

Alex Chen Yi Zhang

Pablo Mateu Hoyos

Sofia Backlund

Alexis Benichou

Gabor Lengyel

Bahti Zakirov

Natalia Ruzickova

Anuj Patel

Teemu Kuosmanen

Ekaterina Maksimova

Jan Humplik

Simon Rella

Gabriel Mitchell

Anna Levina (Martius)

Roshan Prizak

Remy Chait

Jakob Ruess

Aditya Gilra

Bor Kavcic

Matthew Chalk

Rok Grah

Georg Rieckh

Fabrizio Lombardi

Sarah Cepeda Humerez

Katarina Bodova

Heloisa Chiossi

Daniele De Martino

David Brückner

Georg Martius

Sreyam Sengupta

Thomas Sokolowski

Mantas Gabrielaitis

Moritz Lang

Tamar Friedlander

Vicent Botella Soler

Anna Andersson

Michal Hledik

Cristina Savin



202 Publications

2016 | Published | Conference Paper | IST-REx-ID: 1320 | OA
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
[Submitted Version] View | Files available | DOI
 
2016 | Published | 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. Nature Publishing Group. https://doi.org/10.1038/ncomms10333
[Published Version] View | Files available | DOI | WoS
 
2016 | Published | 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. IOP Publishing. https://doi.org/10.1088/1478-3975/13/1/016003
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2016 | Published | 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 Foundation.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2016 | Published | Conference Paper | IST-REx-ID: 1105 | OA
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 Foundation.
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2016 | Published | Thesis | PhD | IST-REx-ID: 1128 | OA
Rieckh, G. (2016). Studying the complexities of transcriptional regulation. Institute of Science and Technology Austria.
[Published Version] View | Files available
 
2016 | Published | Conference Paper | IST-REx-ID: 8094 | OA
Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Self-organized control of an tendon driven arm by differential extrinsic plasticity. In 15th International Conference on the Synthesis and Simulation of Living Systems (Vol. 28, pp. 142–143). Cancun, Mexico: MIT Press. https://doi.org/10.7551/978-0-262-33936-0-ch029
[Published Version] View | Files available | DOI
 
2016 | Published | Conference Paper | IST-REx-ID: 948 | OA
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 Foundation.
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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
 
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
 
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
 
2015 | Published | 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. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055
[Published Version] View | Files available | DOI | WoS
 
2015 | Published | 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. ACM. https://doi.org/10.1145/2688906
View | DOI | WoS
 
2015 | Published | 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.) | WoS | arXiv
 
2015 | Published | 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.) | WoS | arXiv
 
2015 | Published | 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. National Academy of Sciences. https://doi.org/10.1073/pnas.1423947112
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2015 | Published | 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. American Institute of Physics. https://doi.org/10.1063/1.4937937
[Published Version] View | Files available | DOI | WoS
 
2015 | Published | Journal Article | IST-REx-ID: 10794 | OA
Parise, F., Lygeros, J., & Ruess, J. (2015). Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. Frontiers. https://doi.org/10.3389/fenvs.2015.00042
[Published Version] View | Files available | DOI
 
2015 | Published | 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. Frontiers Research Foundation. https://doi.org/10.3389/fncom.2015.00145
[Published Version] View | Files available | DOI | WoS
 
2015 | Published | Journal Article | IST-REx-ID: 1570 | OA
Der, R., & Martius, G. S. (2015). Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1508400112
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 

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