Hledik M, Barton NH, Tkadik G. Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. 2022;119(36). doi:10.1073/pnas.2123152119
LibreCat: https://research-explorer.ista.ac.at/record/12081
DOI: 10.1073/pnas.2123152119
WoS: 000889278400014
PMID: 36037343

Lagator M, Sarikas S, Steinrück M, et al. Predicting bacterial promoter function and evolution from random sequences. eLife. 2022;11. doi:10.7554/eLife.64543
LibreCat: https://research-explorer.ista.ac.at/record/10736
DOI: 10.7554/eLife.64543
WoS: 000751104400001
PMID: 35080492

Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. 2021;17(12). doi:10.1371/journal.pcbi.1009661
LibreCat: https://research-explorer.ista.ac.at/record/10535
DOI: 10.1371/journal.pcbi.1009661
PMID: 34851948
arXiv: 2102.03669

Lombardi F, Pepic S, Shriki O, Tkadik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. doi:10.48550/ARXIV.2108.06686
LibreCat: https://research-explorer.ista.ac.at/record/10912
DOI: 10.48550/ARXIV.2108.06686
arXiv: 2108.06686

Kavcic B, Tkadik G. Token-driven totally asymmetric simple exclusion process. arXiv. doi:10.48550/arXiv.2112.13558
LibreCat: https://research-explorer.ista.ac.at/record/10579
DOI: 10.48550/arXiv.2112.13558
arXiv: 2112.13558

Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. 2021;461:657-666. doi:10.1016/j.neucom.2020.05.126
LibreCat: https://research-explorer.ista.ac.at/record/7463
DOI: 10.1016/j.neucom.2020.05.126
WoS: 000704086300015

Tkadik G, Gregor T. The many bits of positional information. Development. 2021;148(2). doi:10.1242/dev.176065
LibreCat: https://research-explorer.ista.ac.at/record/9226
DOI: 10.1242/dev.176065
WoS: 000613906000007
PMID: 33526425

Mlynarski WF, Hermundstad AM. Efficient and adaptive sensory codes. Nature Neuroscience. 2021;24:998-1009. doi:10.1038/s41593-021-00846-0
LibreCat: https://research-explorer.ista.ac.at/record/9439
DOI: 10.1038/s41593-021-00846-0
WoS: 000652577300003

Zisis T, Schwarz J, Balles M, et al. Sequential and switchable patterning for studying cellular processes under spatiotemporal control. ACS Applied Materials and Interfaces. 2021;13(30):35545–35560. doi:10.1021/acsami.1c09850
LibreCat: https://research-explorer.ista.ac.at/record/9822
DOI: 10.1021/acsami.1c09850
WoS: 000683741400026
PMID: 34283577

Gabrielaitis M. Fast and accurate amplitude demodulation of wideband signals. IEEE Transactions on Signal Processing. 2021;69:4039-4054. doi:10.1109/TSP.2021.3087899
LibreCat: https://research-explorer.ista.ac.at/record/9828
DOI: 10.1109/TSP.2021.3087899
WoS: 000682123900002
arXiv: 2102.04832

Chalk MJ, Tkadik G, Marre O. Inferring the function performed by a recurrent neural network. PLoS ONE. 2021;16(4). doi:10.1371/journal.pone.0248940
LibreCat: https://research-explorer.ista.ac.at/record/9362
DOI: 10.1371/journal.pone.0248940
WoS: 000641474900072
PMID: 33857170

Kavcic B, Tkadik G, Bollenbach MT. Minimal biophysical model of combined antibiotic action. PLOS Computational Biology. 2021;17. doi:10.1371/journal.pcbi.1008529
LibreCat: https://research-explorer.ista.ac.at/record/8997
DOI: 10.1371/journal.pcbi.1008529
WoS: 000608045000010

Nagy-Staron AA, Tomasek K, Caruso Carter C, et al. Local genetic context shapes the function of a gene regulatory network. eLife. 2021;10. doi:10.7554/elife.65993
LibreCat: https://research-explorer.ista.ac.at/record/9283
DOI: 10.7554/elife.65993
WoS: 000631050900001

Mlynarski WF, Hledik M, Sokolowski TR, Tkadik G. Statistical analysis and optimality of neural systems. Neuron. 2021;109(7):1227-1241.e5. doi:10.1016/j.neuron.2021.01.020
LibreCat: https://research-explorer.ista.ac.at/record/7553
DOI: 10.1016/j.neuron.2021.01.020
WoS: 000637809600006

Nardin M, Csicsvari JL, Tkadik G, Savin C. The structure of hippocampal C interactions optimizes spatial coding across experience. bioRxiv. doi:10.1101/2021.09.28.460602
LibreCat: https://research-explorer.ista.ac.at/record/10077
DOI: 10.1101/2021.09.28.460602

Lombardi F, Wang JWJL, Zhang X, Ivanov PC. Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality. EPJ Web of Conferences. 2020;230. doi:10.1051/epjconf/202023000005
LibreCat: https://research-explorer.ista.ac.at/record/8105
DOI: 10.1051/epjconf/202023000005

Narasimhan M, Johnson AJ, Prizak R, et al. Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants. eLife. 2020;9. doi:10.7554/eLife.52067
LibreCat: https://research-explorer.ista.ac.at/record/7490
DOI: 10.7554/eLife.52067
WoS: 000514104100001
PMID: 31971511

Grah R, Friedlander T. Distribution of crosstalk values. 2020. doi:10.1371/journal.pcbi.1007642.s003
LibreCat: https://research-explorer.ista.ac.at/record/9779
DOI: 10.1371/journal.pcbi.1007642.s003

Grah R, Friedlander T. Supporting information. 2020. doi:10.1371/journal.pcbi.1007642.s001
LibreCat: https://research-explorer.ista.ac.at/record/9776
DOI: 10.1371/journal.pcbi.1007642.s001

Berry MJ, Tkadik G. Clustering of neural activity: A design principle for population codes. Frontiers in Computational Neuroscience. 2020;14. doi:10.3389/fncom.2020.00020
LibreCat: https://research-explorer.ista.ac.at/record/7656
DOI: 10.3389/fncom.2020.00020
WoS: 000525543200001
PMID: 32231528

Maoz O, Tkadik G, Esteki MS, Kiani R, Schneidman E. Learning probabilistic neural representations with randomly connected circuits. Proceedings of the National Academy of Sciences of the United States of America. 2020;117(40):25066-25073. doi:10.1073/pnas.1912804117
LibreCat: https://research-explorer.ista.ac.at/record/8698
DOI: 10.1073/pnas.1912804117
WoS: 000579045200012
PMID: 32948691

Rizzo R, Zhang X, Wang JWJL, Lombardi F, Ivanov PC. Network physiology of cortico–muscular interactions. Frontiers in Physiology. 2020;11. doi:10.3389/fphys.2020.558070
LibreCat: https://research-explorer.ista.ac.at/record/8955
DOI: 10.3389/fphys.2020.558070
WoS: 000596849400001
PMID: 33324233

Grah R, Zoller B, Tkadik G. Nonequilibrium models of optimal enhancer function. PNAS. 2020;117(50):31614-31622. doi:10.1073/pnas.2006731117
LibreCat: https://research-explorer.ista.ac.at/record/9000
DOI: 10.1073/pnas.2006731117
WoS: 000600608300015
PMID: 33268497

Lombardi F, Gómez-Extremera M, Bernaola-Galván P, et al. Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. Journal of Neuroscience. 2020;40(1):171-190. doi:10.1523/jneurosci.1278-19.2019
LibreCat: https://research-explorer.ista.ac.at/record/8084
DOI: 10.1523/jneurosci.1278-19.2019
WoS: 000505167600016
PMID: 31694962

Grah R. Gene regulation across scales – how biophysical constraints shape evolution. 2020. doi:10.15479/AT:ISTA:8155
LibreCat: https://research-explorer.ista.ac.at/record/8155
DOI: 10.15479/AT:ISTA:8155

Grah R, Zoller B, Tkadik G. Normative models of enhancer function. bioRxiv. 2020. doi:10.1101/2020.04.08.029405
LibreCat: https://research-explorer.ista.ac.at/record/7675
DOI: 10.1101/2020.04.08.029405

Grah R, Friedlander T. The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. 2020;16(2). doi:10.1371/journal.pcbi.1007642
LibreCat: https://research-explorer.ista.ac.at/record/7569
DOI: 10.1371/journal.pcbi.1007642
WoS: 000526725200019

Grah R, Friedlander T. Maximizing crosstalk. 2020. doi:10.1371/journal.pcbi.1007642.s002
LibreCat: https://research-explorer.ista.ac.at/record/9777
DOI: 10.1371/journal.pcbi.1007642.s002

Kavcic B. Analysis scripts and research data for the paper “Mechanisms of drug interactions between translation-inhibiting antibiotics.”10.15479/AT:ISTA:8097__2020. doi:10.15479/AT:ISTA:8097
LibreCat: https://research-explorer.ista.ac.at/record/8097
DOI: 10.15479/AT:ISTA:8097

Kavcic B. Analysis scripts and research data for the paper “Minimal biophysical model of combined antibiotic action.”10.15479/AT:ISTA:8930__2020. doi:10.15479/AT:ISTA:8930
LibreCat: https://research-explorer.ista.ac.at/record/8930
DOI: 10.15479/AT:ISTA:8930

Grah R. Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation. 2020. doi:10.15479/AT:ISTA:7383
LibreCat: https://research-explorer.ista.ac.at/record/7383
DOI: 10.15479/AT:ISTA:7383

Kavcic B. Perturbations of protein synthesis: from antibiotics to genetics and physiology. 2020. doi:10.15479/AT:ISTA:8657
LibreCat: https://research-explorer.ista.ac.at/record/8657
DOI: 10.15479/AT:ISTA:8657

Kavcic B, Tkadik G, Bollenbach MT. Mechanisms of drug interactions between translation-inhibiting antibiotics. Nature Communications. 2020;11. doi:10.1038/s41467-020-17734-z
LibreCat: https://research-explorer.ista.ac.at/record/8250
DOI: 10.1038/s41467-020-17734-z
WoS: 000562769300008

Kavcic B, Tkadik G, Bollenbach MT. A minimal biophysical model of combined antibiotic action. bioRxiv. 2020. doi:10.1101/2020.04.18.047886
LibreCat: https://research-explorer.ista.ac.at/record/7673
DOI: 10.1101/2020.04.18.047886

Tomanek I, Grah R, Lagator M, et al. Gene amplification as a form of population-level gene expression regulation. Nature Ecology &; Evolution. 2020;4(4):612-625. doi:10.1038/s41559-020-1132-7
LibreCat: https://research-explorer.ista.ac.at/record/7652
DOI: 10.1038/s41559-020-1132-7
WoS: 000519008300005

Bialek W, Gregor T, Tkadik G. Action at a distance in transcriptional regulation. arXiv:191208579.
LibreCat: https://research-explorer.ista.ac.at/record/7552
arXiv: 1912.08579

Petkova MD, Tkadik G, Bialek W, Wieschaus EF, Gregor T. Optimal decoding of cellular identities in a genetic network. Cell. 2019;176(4):844-855.e15. doi:10.1016/j.cell.2019.01.007
LibreCat: https://research-explorer.ista.ac.at/record/5945
DOI: 10.1016/j.cell.2019.01.007
WoS: 000457969200015
PMID: 30712870

De Martino D. Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical. 2019;52(4). doi:10.1088/1751-8121/aaf2dd
LibreCat: https://research-explorer.ista.ac.at/record/6049
DOI: 10.1088/1751-8121/aaf2dd
WoS: 000455379500001

Mitosch K, Rieckh G, Bollenbach MT. Temporal order and precision of complex stress responses in individual bacteria. Molecular systems biology. 2019;15(2). doi:10.15252/msb.20188470
LibreCat: https://research-explorer.ista.ac.at/record/6046
DOI: 10.15252/msb.20188470
WoS: 000459628300003
PMID: 30765425

Ruess J, Pleska M, Guet CC, Tkadik G. Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. 2019;15(7). doi:10.1371/journal.pcbi.1007168
LibreCat: https://research-explorer.ista.ac.at/record/6784
DOI: 10.1371/journal.pcbi.1007168
WoS: 000481577700032

Ruess J, Pleska M, Guet CC, Tkadik G. Supporting text and results. 2019. doi:10.1371/journal.pcbi.1007168.s001
LibreCat: https://research-explorer.ista.ac.at/record/9786
DOI: 10.1371/journal.pcbi.1007168.s001

Sokolowski TR, Paijmans J, Bossen L, et al. eGFRD in all dimensions. The Journal of Chemical Physics. 2019;150(5). doi:10.1063/1.5064867
LibreCat: https://research-explorer.ista.ac.at/record/7422
DOI: 10.1063/1.5064867
WoS: 000458109300009
arXiv: 1708.09364

Cepeda Humerez SA, Ruess J, Tkadik G. Estimating information in time-varying signals. PLoS computational biology. 2019;15(9):e1007290. doi:10.1371/journal.pcbi.1007290
LibreCat: https://research-explorer.ista.ac.at/record/6900
DOI: 10.1371/journal.pcbi.1007290
WoS: 000489741800021
PMID: 31479447

Lang M, Shkolnikov M. Harmonic dynamics of the Abelian sandpile. Proceedings of the National Academy of Sciences. 2019;116(8):2821-2830. doi:10.1073/pnas.1812015116
LibreCat: https://research-explorer.ista.ac.at/record/196
DOI: 10.1073/pnas.1812015116
WoS: 000459074400013
PMID:  30728300
arXiv: 1806.10823

Kavcic B, Sakashita A, Noguchi H, Ziherl P. Limiting shapes of confined lipid vesicles. Soft Matter. 2019;15(4):602-614. doi:10.1039/c8sm01956h
LibreCat: https://research-explorer.ista.ac.at/record/5817
DOI: 10.1039/c8sm01956h
WoS: 000457329700003
PMID: 30629082

Cepeda Humerez SA. Estimating information flow in single cells. 2019. doi:10.15479/AT:ISTA:6473
LibreCat: https://research-explorer.ista.ac.at/record/6473
DOI: 10.15479/AT:ISTA:6473

Prizak R. Coevolution of transcription factors and their binding sites in sequence space. 2019. doi:10.15479/at:ista:th6071
LibreCat: https://research-explorer.ista.ac.at/record/6071
DOI: 10.15479/at:ista:th6071

Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268
LibreCat: https://research-explorer.ista.ac.at/record/7103
DOI: 10.1371/journal.pcbi.1007268
WoS: 000500976100014
PMID: 31725712

Carballo-Pacheco M, Desponds J, Gavrilchenko T, et al. Receptor crosstalk improves concentration sensing of multiple ligands. Physical Review E. 2019;99(2). doi:10.1103/PhysRevE.99.022423
LibreCat: https://research-explorer.ista.ac.at/record/6090
DOI: 10.1103/PhysRevE.99.022423
WoS: 000459916500007

Hledik M, Sokolowski TR, Tkadik G. A tight upper bound on mutual information. In: IEEE Information Theory Workshop, ITW 2019. IEEE; 2019. doi:10.1109/ITW44776.2019.8989292
LibreCat: https://research-explorer.ista.ac.at/record/7606
DOI: 10.1109/ITW44776.2019.8989292
WoS: 000540384500015
arXiv: 1812.01475

De Martino A, De Martino D. An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. 2018;4(4). doi:10.1016/j.heliyon.2018.e00596
LibreCat: https://research-explorer.ista.ac.at/record/306
DOI: 10.1016/j.heliyon.2018.e00596

Misun P, Birchler A, Lang M, Hierlemann A, Frey O. Fabrication and operation of microfluidic hanging drop networks. Methods in Molecular Biology. 2018;1771:183-202. doi:10.1007/978-1-4939-7792-5_15
LibreCat: https://research-explorer.ista.ac.at/record/305
DOI: 10.1007/978-1-4939-7792-5_15

Granados A, Pietsch J, Cepeda Humerez SA, Farquhar I, Tkadik G, Swain P. Distributed and dynamic intracellular organization of extracellular information. PNAS. 2018;115(23):6088-6093. doi:10.1073/pnas.1716659115
LibreCat: https://research-explorer.ista.ac.at/record/281
DOI: 10.1073/pnas.1716659115
WoS: 000434114900071
PMID: 29784812

Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. 2018;209(3):861-883. doi:10.1534/genetics.118.300748
LibreCat: https://research-explorer.ista.ac.at/record/316
DOI: 10.1534/genetics.118.300748
WoS: 000437171700017

Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Supplemental material for Bodova et al., 2018. 2018. doi:10.25386/genetics.6148304.v1
LibreCat: https://research-explorer.ista.ac.at/record/9813
DOI: 10.25386/genetics.6148304.v1

Bod’Ová K, Mitchell G, Harpaz R, Schneidman E, Tkadik G. Probabilistic models of individual and collective animal behavior. PLoS One. 2018;13(3). doi:10.1371/journal.pone.0193049
LibreCat: https://research-explorer.ista.ac.at/record/406
DOI: 10.1371/journal.pone.0193049
WoS: 000426896800032

Pleska M, Lang M, Refardt D, Levin B, Guet CC. Phage-host population dynamics promotes prophage acquisition in bacteria with innate immunity. Nature Ecology and Evolution. 2018;2(2):359-366. doi:10.1038/s41559-017-0424-z
LibreCat: https://research-explorer.ista.ac.at/record/457
DOI: 10.1038/s41559-017-0424-z
WoS: 000426516400027

Bod’Ová K, Mitchell G, Harpaz R, Schneidman E, Tkadik G. Implementation of the inference method in Matlab. 2018. doi:10.1371/journal.pone.0193049.s001
LibreCat: https://research-explorer.ista.ac.at/record/9831
DOI: 10.1371/journal.pone.0193049.s001

Ferrari U, Deny S, Chalk MJ, Tkadik G, Marre O, Mora T. Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons. Physical Review E. 2018;98(4). doi:10.1103/PhysRevE.98.042410
LibreCat: https://research-explorer.ista.ac.at/record/31
DOI: 10.1103/PhysRevE.98.042410
WoS: 000447486100004

Chalk MJ, Marre O, Tkadik G. Toward a unified theory of efficient, predictive, and sparse coding. PNAS. 2018;115(1):186-191. doi:10.1073/pnas.1711114115
LibreCat: https://research-explorer.ista.ac.at/record/543
DOI: 10.1073/pnas.1711114115
WoS: 000419128700049

Bodova K, Haskovec J, Markowich P. Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. 2018;376-377:108-120. doi:10.1016/j.physd.2017.10.015
LibreCat: https://research-explorer.ista.ac.at/record/607
DOI: 10.1016/j.physd.2017.10.015
WoS: 000437962900012
arXiv: 1704.08757

Palmer A, Chait RP, Kishony R. Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. 2018;35(11):2669-2684. doi:10.1093/molbev/msy163
LibreCat: https://research-explorer.ista.ac.at/record/19
DOI: 10.1093/molbev/msy163
WoS: 000452567200006
PMID: 30169679

Botella Soler V, Deny S, Martius GS, Marre O, Tkadik G. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. 2018;14(5). doi:10.1371/journal.pcbi.1006057
LibreCat: https://research-explorer.ista.ac.at/record/292
DOI: 10.1371/journal.pcbi.1006057
WoS: 000434012100002

Deny S, Marre O, Botella-Soler V, Martius GS, Tkadik G. Nonlinear decoding of a complex movie from the mammalian retina. 2018. doi:10.15479/AT:ISTA:98
LibreCat: https://research-explorer.ista.ac.at/record/5584
DOI: 10.15479/AT:ISTA:98

De Martino D, Mc AA, Bergmiller T, Guet CC, Tkadik G. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-05417-9
LibreCat: https://research-explorer.ista.ac.at/record/161
DOI: 10.1038/s41467-018-05417-9
WoS: 000440149300021

De Martino D, Tkadik G. Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.”10.15479/AT:ISTA:62__2018. doi:10.15479/AT:ISTA:62
LibreCat: https://research-explorer.ista.ac.at/record/5587
DOI: 10.15479/AT:ISTA:62

Igler C, Lagator M, Tkadik G, Bollback JP, Guet CC. Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. 2018;2(10):1633-1643. doi:10.1038/s41559-018-0651-y
LibreCat: https://research-explorer.ista.ac.at/record/67
DOI: 10.1038/s41559-018-0651-y
WoS: 000447947600021

Igler C, Lagator M, Tkadik G, Bollback JP, Guet CC. Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108
LibreCat: https://research-explorer.ista.ac.at/record/5585
DOI: 10.15479/AT:ISTA:108

Chait RP, Ruess J, Bergmiller T, Tkadik G, Guet CC. Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-01683-1
LibreCat: https://research-explorer.ista.ac.at/record/613
DOI: 10.1038/s41467-017-01683-1

Der R, Martius GS. Dynamical self consistency leads to behavioral development and emergent social interactions in robots. In: IEEE; 2017. doi:10.1109/DEVLRN.2016.7846789
LibreCat: https://research-explorer.ista.ac.at/record/652
DOI: 10.1109/DEVLRN.2016.7846789

Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008
LibreCat: https://research-explorer.ista.ac.at/record/658
DOI: 10.3389/fnbot.2017.00008

Humplik J, Tkadik G. Probabilistic models for neural populations that naturally capture global coupling and criticality. PLoS Computational Biology. 2017;13(9). doi:10.1371/journal.pcbi.1005763
LibreCat: https://research-explorer.ista.ac.at/record/720
DOI: 10.1371/journal.pcbi.1005763

Harpaz R, Tkadik G, Schneidman E. Discrete modes of social information processing predict individual behavior of fish in a group. PNAS. 2017;114(38):10149-10154. doi:10.1073/pnas.1703817114
LibreCat: https://research-explorer.ista.ac.at/record/725
DOI: 10.1073/pnas.1703817114
PMID: 28874581

Prentice J, Marre O, Ioffe M, Loback A, Tkadik G, Berry M. Data from: Error-robust modes of the retinal population code. 2017. doi:10.5061/dryad.1f1rc
LibreCat: https://research-explorer.ista.ac.at/record/9709
DOI: 10.5061/dryad.1f1rc

Chalk MJ, Masset P, Gutkin B, Denève S. Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology. 2017;13(6). doi:10.1371/journal.pcbi.1005582
LibreCat: https://research-explorer.ista.ac.at/record/680
DOI: 10.1371/journal.pcbi.1005582

Chalk MJ, Masset P, Gutkin B, Denève S. Supplementary appendix. 2017. doi:10.1371/journal.pcbi.1005582.s001
LibreCat: https://research-explorer.ista.ac.at/record/9855
DOI: 10.1371/journal.pcbi.1005582.s001

Mitosch K, Rieckh G, Bollenbach MT. Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems. 2017;4(4):393-403. doi:10.1016/j.cels.2017.03.001
LibreCat: https://research-explorer.ista.ac.at/record/666
DOI: 10.1016/j.cels.2017.03.001

Martin Del Campo Sanchez A, Cepeda Humerez SA, Uhler C. Exact goodness-of-fit testing for the Ising model. Scandinavian Journal of Statistics. 2017;44(2):285-306. doi:10.1111/sjos.12251
LibreCat: https://research-explorer.ista.ac.at/record/2016
DOI: 10.1111/sjos.12251
WoS: 000400985000001
arXiv: 1410.1242

Deny S, Ferrari U, Mace E, et al. Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-02159-y
LibreCat: https://research-explorer.ista.ac.at/record/1104
DOI: 10.1038/s41467-017-02159-y
WoS: 000417241200004

Levina (Martius) A, Priesemann V. Subsampling scaling. Nature Communications. 2017;8. doi:10.1038/ncomms15140
LibreCat: https://research-explorer.ista.ac.at/record/993
DOI: 10.1038/ncomms15140
WoS: 000400560700001

Friedlander T, Prizak R, Barton NH, Tkadik G. Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-00238-8
LibreCat: https://research-explorer.ista.ac.at/record/955
DOI: 10.1038/s41467-017-00238-8
WoS: 000407198800005

De Martino D. Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. 10.1103/PhysRevE.95.062419__Physical Review E Statistical Nonlinear and Soft Matter Physics . 2017;95(6):062419. doi:10.1103/PhysRevE.95.062419
LibreCat: https://research-explorer.ista.ac.at/record/959
DOI: 10.1103/PhysRevE.95.062419
WoS: 000404546400004

De Martino D, Capuani F, De Martino A. Quantifying the entropic cost of cellular growth control. 10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics . 2017;96(1). doi:10.1103/PhysRevE.96.010401
LibreCat: https://research-explorer.ista.ac.at/record/947
DOI: 10.1103/PhysRevE.96.010401
WoS: 000405194200002

Zagórski MP, Tabata Y, Brandenberg N, et al. Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science. 2017;356(6345):1379-1383. doi:10.1126/science.aam5887
LibreCat: https://research-explorer.ista.ac.at/record/943
DOI: 10.1126/science.aam5887
WoS: 000404351500036
PMID: 28663499

Colabrese S, De Martino D, Leuzzi L, Marinari E. Phase transitions in integer linear problems. 10.1088/1742-5468/aa85c3__Journal of Statistical Mechanics: Theory and Experiment. 2017;2017(9). doi:10.1088/1742-5468/aa85c3
LibreCat: https://research-explorer.ista.ac.at/record/823
DOI: 10.1088/1742-5468/aa85c3
WoS: 000411842900001

Savin C, Tkadik G. Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. 2017;46:120-126. doi:10.1016/j.conb.2017.08.001
LibreCat: https://research-explorer.ista.ac.at/record/730
DOI: 10.1016/j.conb.2017.08.001
WoS: 000416196400016

De Martino D. Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. 2017;96(6). doi:10.1103/PhysRevE.96.060401
LibreCat: https://research-explorer.ista.ac.at/record/548
DOI: 10.1103/PhysRevE.96.060401

Lang M, Sontag E. Zeros of nonlinear systems with input invariances. Automatica. 2017;81C:46-55. doi:10.1016/j.automatica.2017.03.030
LibreCat: https://research-explorer.ista.ac.at/record/1007
DOI: 10.1016/j.automatica.2017.03.030
WoS: 000403513900006

Marre O, Tkadik G, Amodei D, Schneidman E, Bialek W, Berry M. Multi-electrode array recording from salamander retinal ganglion cells. 2017. doi:10.15479/AT:ISTA:61
LibreCat: https://research-explorer.ista.ac.at/record/5562
DOI: 10.15479/AT:ISTA:61

Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. 2017. doi:10.15479/AT:ISTA:53
LibreCat: https://research-explorer.ista.ac.at/record/5560
DOI: 10.15479/AT:ISTA:53

Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science. 2017;356(6335):311-315. doi:10.1126/science.aaf4762
LibreCat: https://research-explorer.ista.ac.at/record/665
DOI: 10.1126/science.aaf4762

Barone V, Lang M, Krens G, et al. An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell. 2017;43(2):198-211. doi:10.1016/j.devcel.2017.09.014
LibreCat: https://research-explorer.ista.ac.at/record/735
DOI: 10.1016/j.devcel.2017.09.014
WoS: 000413443700011

Chalk MJ, Marre O, Tkadik G. Relevant sparse codes with variational information bottleneck. In: Vol 29. Neural Information Processing Systems; 2016:1965-1973.
LibreCat: https://research-explorer.ista.ac.at/record/1082

Savin C, Tkadik G. Estimating nonlinear neural response functions using GP priors and Kronecker methods. In: Vol 29. Neural Information Processing Systems; 2016:3610-3618.
LibreCat: https://research-explorer.ista.ac.at/record/1105

Lang M, Stelling J. Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing. 2016;38(6):8-08. doi:10.1137/15M103306X
LibreCat: https://research-explorer.ista.ac.at/record/1170
DOI: 10.1137/15M103306X

Tkadik G. Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on &;quot;Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function&;quot; by O. C. Martin et al. Physics of Life Reviews. 2016;17:166-167. doi:10.1016/j.plrev.2016.06.005
LibreCat: https://research-explorer.ista.ac.at/record/1171
DOI: 10.1016/j.plrev.2016.06.005

De Martino D, Masoero D. Asymptotic analysis of noisy fitness maximization, applied to metabolism &;amp; growth. 10.1088/1742-5468/aa4e8f__Journal of Statistical Mechanics: Theory and Experiment. 2016;2016(12). doi:10.1088/1742-5468/aa4e8f
LibreCat: https://research-explorer.ista.ac.at/record/1188
DOI: 10.1088/1742-5468/aa4e8f

Hu F, Rishishwar L, Sivadas A, et al. Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology. 2016;54(12):3010-3017. doi:10.1128/JCM.01511-16
LibreCat: https://research-explorer.ista.ac.at/record/1203
DOI: 10.1128/JCM.01511-16

Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November. IEEE; 2016. doi:10.1109/IROS.2016.7759138
LibreCat: https://research-explorer.ista.ac.at/record/1214
DOI: 10.1109/IROS.2016.7759138

Miki G, Stoll A, Bevirt J, Grah R, Moore M. Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency. In: AIAA; 2016:1-19. doi:10.2514/6.2016-3764
LibreCat: https://research-explorer.ista.ac.at/record/1220
DOI: 10.2514/6.2016-3764