Misun, Patrick, et al. “Fabrication and Operation of Microfluidic Hanging Drop Networks.”10.1007/978-1-4939-7792-5_15__Methods in Molecular Biology, vol. 1771, Springer, 2018, pp. 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, Alejandro, et al. “Distributed and Dynamic Intracellular Organization of Extracellular Information.”10.1073/pnas.1716659115__PNAS, vol. 115, no. 23, National Academy of Sciences, 2018, pp. 6088–93, doi:10.1073/pnas.1716659115.
LibreCat: https://research-explorer.ista.ac.at/record/281
DOI: 10.1073/pnas.1716659115
WoS: 000434114900071
PMID: 29784812

Bodova, Katarina, et al. “Evolutionary Pathways for the Generation of New Self-Incompatibility Haplotypes in a Non-Self Recognition System.”10.1534/genetics.118.300748__Genetics, vol. 209, no. 3, Genetics Society of America, 2018, pp. 861–83, doi:10.1534/genetics.118.300748.
LibreCat: https://research-explorer.ista.ac.at/record/316
DOI: 10.1534/genetics.118.300748
WoS: 000437171700017

Bodova, Katarina, et al. Supplemental Material for Bodova et Al., 2018. Genetics Society of America, 2018, doi:10.25386/genetics.6148304.v1.
LibreCat: https://research-explorer.ista.ac.at/record/9813
DOI: 10.25386/genetics.6148304.v1

Bod’Ová, Katarína, et al. “Probabilistic Models of Individual and Collective Animal Behavior.”10.1371/journal.pone.0193049__PLoS One, vol. 13, no. 3, Public Library of Science, 2018, doi:10.1371/journal.pone.0193049.
LibreCat: https://research-explorer.ista.ac.at/record/406
DOI: 10.1371/journal.pone.0193049
WoS: 000426896800032

Pleska, Maros, et al. “Phage-Host Population Dynamics Promotes Prophage Acquisition in Bacteria with Innate Immunity.”10.1038/s41559-017-0424-z__Nature Ecology and Evolution, vol. 2, no. 2, Springer Nature, 2018, pp. 359–66, 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, Katarína, et al. Implementation of the Inference Method in Matlab. Public Library of Science, 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, Ulisse, et al. “Separating Intrinsic Interactions from Extrinsic Correlations in a Network of Sensory Neurons.”10.1103/PhysRevE.98.042410__Physical Review E, vol. 98, no. 4, 042410, American Physical Society, 2018, doi:10.1103/PhysRevE.98.042410.
LibreCat: https://research-explorer.ista.ac.at/record/31
DOI: 10.1103/PhysRevE.98.042410
WoS: 000447486100004

Chalk, Matthew J., et al. “Toward a Unified Theory of Efficient, Predictive, and Sparse Coding.”10.1073/pnas.1711114115__PNAS, vol. 115, no. 1, National Academy of Sciences, 2018, pp. 186–91, doi:10.1073/pnas.1711114115.
LibreCat: https://research-explorer.ista.ac.at/record/543
DOI: 10.1073/pnas.1711114115
WoS: 000419128700049

Bodova, Katarina, et al. “Well Posedness and Maximum Entropy Approximation for the Dynamics of Quantitative Traits.”10.1016/j.physd.2017.10.015__Physica D: Nonlinear Phenomena, vol. 376–377, Elsevier, 2018, pp. 108–20, 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, Adam, et al. “Nonoptimal Gene Expression Creates Latent Potential for Antibiotic Resistance.”10.1093/molbev/msy163__Molecular Biology and Evolution, vol. 35, no. 11, Oxford University Press, 2018, pp. 2669–84, 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, Vicente, et al. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.”10.1371/journal.pcbi.1006057__PLoS Computational Biology, vol. 14, no. 5, e1006057, Public Library of Science, 2018, doi:10.1371/journal.pcbi.1006057.
LibreCat: https://research-explorer.ista.ac.at/record/292
DOI: 10.1371/journal.pcbi.1006057
WoS: 000434012100002

Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:98.
LibreCat: https://research-explorer.ista.ac.at/record/5584
DOI: 10.15479/AT:ISTA:98

De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during Steady State Growth.”10.1038/s41467-018-05417-9__Nature Communications, vol. 9, no. 1, 2988, Springer Nature, 2018, 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, Daniele, and Gasper Tkadik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:62.
LibreCat: https://research-explorer.ista.ac.at/record/5587
DOI: 10.15479/AT:ISTA:62

Igler, Claudia, et al. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”10.1038/s41559-018-0651-y__Nature Ecology and Evolution, vol. 2, no. 10, Nature Publishing Group, 2018, pp. 1633–43, 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, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:108.
LibreCat: https://research-explorer.ista.ac.at/record/5585
DOI: 10.15479/AT:ISTA:108

Chait, Remy P., et al. “Shaping Bacterial Population Behavior through Computer Interfaced Control of Individual Cells.”10.1038/s41467-017-01683-1__Nature Communications, vol. 8, no. 1, 1535, Nature Publishing Group, 2017, doi:10.1038/s41467-017-01683-1.
LibreCat: https://research-explorer.ista.ac.at/record/613
DOI: 10.1038/s41467-017-01683-1

Der, Ralf, and Georg S. Martius. Dynamical Self Consistency Leads to Behavioral Development and Emergent Social Interactions in Robots. 7846789, IEEE, 2017, doi:10.1109/DEVLRN.2016.7846789.
LibreCat: https://research-explorer.ista.ac.at/record/652
DOI: 10.1109/DEVLRN.2016.7846789

Der, Ralf, and Georg S. Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.”10.3389/fnbot.2017.00008__Frontiers in Neurorobotics, vol. 11, no. MAR, 00008, Frontiers Research Foundation, 2017, doi:10.3389/fnbot.2017.00008.
LibreCat: https://research-explorer.ista.ac.at/record/658
DOI: 10.3389/fnbot.2017.00008

Humplik, Jan, and Gasper Tkadik. “Probabilistic Models for Neural Populations That Naturally Capture Global Coupling and Criticality.”10.1371/journal.pcbi.1005763__PLoS Computational Biology, vol. 13, no. 9, e1005763, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005763.
LibreCat: https://research-explorer.ista.ac.at/record/720
DOI: 10.1371/journal.pcbi.1005763

Harpaz, Roy, et al. “Discrete Modes of Social Information Processing Predict Individual Behavior of Fish in a Group.”10.1073/pnas.1703817114__PNAS, vol. 114, no. 38, National Academy of Sciences, 2017, pp. 10149–54, doi:10.1073/pnas.1703817114.
LibreCat: https://research-explorer.ista.ac.at/record/725
DOI: 10.1073/pnas.1703817114
PMID: 28874581

Prentice, Jason, et al. Data from: Error-Robust Modes of the Retinal Population Code. Dryad, 2017, doi:10.5061/dryad.1f1rc.
LibreCat: https://research-explorer.ista.ac.at/record/9709
DOI: 10.5061/dryad.1f1rc

Chalk, Matthew J., et al. “Sensory Noise Predicts Divisive Reshaping of Receptive Fields.”10.1371/journal.pcbi.1005582__PLoS Computational Biology, vol. 13, no. 6, e1005582, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005582.
LibreCat: https://research-explorer.ista.ac.at/record/680
DOI: 10.1371/journal.pcbi.1005582

Chalk, Matthew J., et al. Supplementary Appendix. Public Library of Science, 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, Karin, et al. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.”10.1016/j.cels.2017.03.001__Cell Systems, vol. 4, no. 4, Cell Press, 2017, pp. 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, Abraham, et al. “Exact Goodness-of-Fit Testing for the Ising Model.”10.1111/sjos.12251__Scandinavian Journal of Statistics, vol. 44, no. 2, Wiley-Blackwell, 2017, pp. 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, Stephane, et al. “Multiplexed Computations in Retinal Ganglion Cells of a Single Type.”10.1038/s41467-017-02159-y__Nature Communications, vol. 8, no. 1, 1964, Nature Publishing Group, 2017, 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), Anna, and Viola Priesemann. “Subsampling Scaling.”10.1038/ncomms15140__Nature Communications, vol. 8, 15140, Nature Publishing Group, 2017, doi:10.1038/ncomms15140.
LibreCat: https://research-explorer.ista.ac.at/record/993
DOI: 10.1038/ncomms15140
WoS: 000400560700001

Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”10.1038/s41467-017-00238-8__Nature Communications, vol. 8, no. 1, 216, Nature Publishing Group, 2017, 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, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.”10.1103/PhysRevE.95.062419__10.1103/PhysRevE.95.062419__Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 95, no. 6, American Institute of Physics, 2017, p. 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, Daniele, et al. “Quantifying the Entropic Cost of Cellular Growth Control.”10.1103/PhysRevE.96.010401__10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 96, no. 1, 010401, American Institute of Physics, 2017, doi:10.1103/PhysRevE.96.010401.
LibreCat: https://research-explorer.ista.ac.at/record/947
DOI: 10.1103/PhysRevE.96.010401
WoS: 000405194200002

Zagórski, Marcin P., et al. “Decoding of Position in the Developing Neural Tube from Antiparallel Morphogen Gradients.”10.1126/science.aam5887__Science, vol. 356, no. 6345, American Association for the Advancement of Science, 2017, pp. 1379–83, doi:10.1126/science.aam5887.
LibreCat: https://research-explorer.ista.ac.at/record/943
DOI: 10.1126/science.aam5887
WoS: 000404351500036
PMID: 28663499

Colabrese, Simona, et al. “Phase Transitions in Integer Linear Problems.”10.1088/1742-5468/aa85c3__10.1088/1742-5468/aa85c3__Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no. 9, 093404, IOPscience, 2017, doi:10.1088/1742-5468/aa85c3.
LibreCat: https://research-explorer.ista.ac.at/record/823
DOI: 10.1088/1742-5468/aa85c3
WoS: 000411842900001

Savin, Cristina, and Gasper Tkadik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.”10.1016/j.conb.2017.08.001__Current Opinion in Neurobiology, vol. 46, Elsevier, 2017, pp. 120–26, 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, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.”10.1103/PhysRevE.96.060401__Physical Review E, vol. 96, no. 6, 060401, American Physical Society, 2017, doi:10.1103/PhysRevE.96.060401.
LibreCat: https://research-explorer.ista.ac.at/record/548
DOI: 10.1103/PhysRevE.96.060401

Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.”10.1016/j.automatica.2017.03.030__Automatica, vol. 81C, International Federation of Automatic Control, 2017, pp. 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, Olivier, et al. Multi-Electrode Array Recording from Salamander Retinal Ganglion Cells. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:61.
LibreCat: https://research-explorer.ista.ac.at/record/5562
DOI: 10.15479/AT:ISTA:61

Bergmiller, Tobias, et al. Biased Partitioning of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:53.
LibreCat: https://research-explorer.ista.ac.at/record/5560
DOI: 10.15479/AT:ISTA:53

Bergmiller, Tobias, et al. “Biased Partitioning of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.”10.1126/science.aaf4762__Science, vol. 356, no. 6335, American Association for the Advancement of Science, 2017, pp. 311–15, doi:10.1126/science.aaf4762.
LibreCat: https://research-explorer.ista.ac.at/record/665
DOI: 10.1126/science.aaf4762

Barone, Vanessa, et al. “An Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling Determines Cell Fate.”10.1016/j.devcel.2017.09.014__Developmental Cell, vol. 43, no. 2, Cell Press, 2017, pp. 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, Matthew J., et al. Relevant Sparse Codes with Variational Information Bottleneck. Vol. 29, Neural Information Processing Systems, 2016, pp. 1965–73.
LibreCat: https://research-explorer.ista.ac.at/record/1082

Savin, Cristina, and Gasper Tkadik. Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods. Vol. 29, Neural Information Processing Systems, 2016, pp. 3610–18.
LibreCat: https://research-explorer.ista.ac.at/record/1105

Lang, Moritz, and Jörg Stelling. “Modular Parameter Identification of Biomolecular Networks.”10.1137/15M103306X__SIAM Journal on Scientific Computing, vol. 38, no. 6, Society for Industrial and Applied Mathematics , 2016, pp. 8–1008, doi:10.1137/15M103306X.
LibreCat: https://research-explorer.ista.ac.at/record/1170
DOI: 10.1137/15M103306X

Tkadik, Gasper. “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.”10.1016/j.plrev.2016.06.005__Physics of Life Reviews, vol. 17, Elsevier, 2016, pp. 166–67, 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, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism &;amp; Growth.”10.1088/1742-5468/aa4e8f__10.1088/1742-5468/aa4e8f__Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12, 123502, IOPscience, 2016, doi:10.1088/1742-5468/aa4e8f.
LibreCat: https://research-explorer.ista.ac.at/record/1188
DOI: 10.1088/1742-5468/aa4e8f

Hu, Fang, et al. “Comparative Genomic Analysis of Haemophilus Haemolyticus and Nontypeable Haemophilus Influenzae and a New Testing Scheme for Their Discrimination.”10.1128/JCM.01511-16__Journal of Clinical Microbiology, vol. 54, no. 12, American Society for Microbiology, 2016, pp. 3010–17, doi:10.1128/JCM.01511-16.
LibreCat: https://research-explorer.ista.ac.at/record/1203
DOI: 10.1128/JCM.01511-16

Martius, Georg S., et al. Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm. Vol. 2016–November, 7759138, IEEE, 2016, doi:10.1109/IROS.2016.7759138.
LibreCat: https://research-explorer.ista.ac.at/record/1214
DOI: 10.1109/IROS.2016.7759138

Miki, Gregor, et al. Fuselage Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for Optimal Efficiency. AIAA, 2016, pp. 1–19, doi:10.2514/6.2016-3764.
LibreCat: https://research-explorer.ista.ac.at/record/1220
DOI: 10.2514/6.2016-3764

Sokolowski, Thomas R., et al. “Extending the Dynamic Range of Transcription Factor Action by Translational Regulation.”10.1103/PhysRevE.93.022404__Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2, 022404, American Institute of Physics, 2016, doi:10.1103/PhysRevE.93.022404.
LibreCat: https://research-explorer.ista.ac.at/record/1242
DOI: 10.1103/PhysRevE.93.022404

Recouvreux, Pierre, et al. “Chimera Proteins with Affinity for Membranes and Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.”10.1073/pnas.1419248113__PNAS, vol. 113, no. 7, National Academy of Sciences, 2016, pp. 1811–16, doi:10.1073/pnas.1419248113.
LibreCat: https://research-explorer.ista.ac.at/record/1244
DOI: 10.1073/pnas.1419248113

Tkadik, Gasper, and William Bialek. “Information Processing in Living Systems.”10.1146/annurev-conmatphys-031214-014803__Annual Review of Condensed Matter Physics, vol. 7, Annual Reviews, 2016, pp. 89–117, doi:10.1146/annurev-conmatphys-031214-014803.
LibreCat: https://research-explorer.ista.ac.at/record/1248
DOI: 10.1146/annurev-conmatphys-031214-014803

De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.”10.1142/S0129183116500674__International Journal of Modern Physics C, vol. 27, no. 6, 1650067, World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.
LibreCat: https://research-explorer.ista.ac.at/record/1260
DOI: 10.1142/S0129183116500674
arXiv: 1505.02963

Chalk, Matthew J., et al. “Neural Oscillations as a Signature of Efficient Coding in the Presence of Synaptic Delays.”10.7554/eLife.13824__ELife, vol. 5, no. 2016JULY, e13824, eLife Sciences Publications, 2016, doi:10.7554/eLife.13824.
LibreCat: https://research-explorer.ista.ac.at/record/1266
DOI: 10.7554/eLife.13824

Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance Efflux Pump.”10.1038/nchembio.2176__Nature Chemical Biology, vol. 12, no. 11, Nature Publishing Group, 2016, pp. 902–04, doi:10.1038/nchembio.2176.
LibreCat: https://research-explorer.ista.ac.at/record/1290
DOI: 10.1038/nchembio.2176

Lang, Moritz, and Eduardo Sontag. Scale-Invariant Systems Realize Nonlinear Differential Operators. Vol. 2016–July, 7526722, IEEE, 2016, doi:10.1109/ACC.2016.7526722.
LibreCat: https://research-explorer.ista.ac.at/record/1320
DOI: 10.1109/ACC.2016.7526722

Chait, Remy P., et al. “Pervasive Selection for and against Antibiotic Resistance in Inhomogeneous Multistress Environments.”10.1038/ncomms10333__Nature Communications, vol. 7, 10333, Nature Publishing Group, 2016, doi:10.1038/ncomms10333.
LibreCat: https://research-explorer.ista.ac.at/record/1332
DOI: 10.1038/ncomms10333

Baym, Michael, et al. “Spatiotemporal Microbial Evolution on Antibiotic Landscapes.”10.1126/science.aag0822__Science, vol. 353, no. 6304, American Association for the Advancement of Science, 2016, pp. 1147–51, doi:10.1126/science.aag0822.
LibreCat: https://research-explorer.ista.ac.at/record/1342
DOI: 10.1126/science.aag0822

De Martino, Daniele, et al. “Growth against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.”10.1088/1478-3975/13/3/036005__Physical Biology, vol. 13, no. 3, 036005, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/3/036005.
LibreCat: https://research-explorer.ista.ac.at/record/1394
DOI: 10.1088/1478-3975/13/3/036005

Bodova, Katarina, et al. “A General Approximation for the Dynamics of Quantitative Traits.”10.1534/genetics.115.184127__Genetics, vol. 202, no. 4, Genetics Society of America, 2016, pp. 1523–48, doi:10.1534/genetics.115.184127.
LibreCat: https://research-explorer.ista.ac.at/record/1420
DOI: 10.1534/genetics.115.184127
arXiv: 1510.08344

De Martino, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E. Coli from the Energy Balance Analysis.”10.1088/1478-3975/13/1/016003__Physical Biology, vol. 13, no. 1, 016003, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/1/016003.
LibreCat: https://research-explorer.ista.ac.at/record/1485
DOI: 10.1088/1478-3975/13/1/016003

Schilling, Christian, et al. “Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks.”10.1016/j.biosystems.2016.07.005__Biosystems, vol. 149, Elsevier, 2016, pp. 15–25, doi:10.1016/j.biosystems.2016.07.005.
LibreCat: https://research-explorer.ista.ac.at/record/1148
DOI: 10.1016/j.biosystems.2016.07.005

Martius, Georg S., et al. “Self-Organized Control of an Tendon Driven Arm by Differential Extrinsic Plasticity.”10.7551/978-0-262-33936-0-ch029__Proceedings of the Artificial Life Conference 2016, vol. 28, MIT Press, 2016, pp. 142–43, doi:10.7551/978-0-262-33936-0-ch029.
LibreCat: https://research-explorer.ista.ac.at/record/8094
DOI: 10.7551/978-0-262-33936-0-ch029

Prentice, Jason, et al. “Error-Robust Modes of the Retinal Population Code.”10.1371/journal.pcbi.1005148__PLoS Computational Biology, vol. 12, no. 11, e1005855, Public Library of Science, 2016, doi:10.1371/journal.pcbi.1005148.
LibreCat: https://research-explorer.ista.ac.at/record/1197
DOI: 10.1371/journal.pcbi.1005148

Monk, Travis, et al. Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. Vol. 29, Neural Information Processing Systems, 2016, pp. 4285–93.
LibreCat: https://research-explorer.ista.ac.at/record/948

Hillenbrand, Patrick, et al. “Beyond the French Flag Model: Exploiting Spatial and Gene Regulatory Interactions for Positional Information.”10.1371/journal.pone.0163628__PLoS One, vol. 11, no. 9, e0163628, Public Library of Science, 2016, doi:10.1371/journal.pone.0163628.
LibreCat: https://research-explorer.ista.ac.at/record/1270
DOI: 10.1371/journal.pone.0163628

Hillenbrand, Patrick, et al. Computation of Positional Information in an Ising Model. Public Library of Science, 2016, doi:10.1371/journal.pone.0163628.s002.
LibreCat: https://research-explorer.ista.ac.at/record/9870
DOI: 10.1371/journal.pone.0163628.s002

Hillenbrand, Patrick, et al. Error Bound on an Estimator of Position. Public Library of Science, 2016, doi:10.1371/journal.pone.0163628.s001.
LibreCat: https://research-explorer.ista.ac.at/record/9869
DOI: 10.1371/journal.pone.0163628.s001

Hillenbrand, Patrick, et al. Computation of Positional Information in a Discrete Morphogen Field. Public Library of Science, 2016, doi:10.1371/journal.pone.0163628.s003.
LibreCat: https://research-explorer.ista.ac.at/record/9871
DOI: 10.1371/journal.pone.0163628.s003

Rieckh, Georg. Studying the Complexities of Transcriptional Regulation. Institute of Science and Technology Austria, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1128

Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.”10.1038/ncomms12307__Nature Communications, vol. 7, 12307, Nature Publishing Group, 2016, doi:10.1038/ncomms12307.
LibreCat: https://research-explorer.ista.ac.at/record/1358
DOI: 10.1038/ncomms12307

Parise, Francesca, et al. “Bayesian Inference for Stochastic Individual-Based Models of Ecological Systems: A Pest Control Simulation Study.”10.3389/fenvs.2015.00042__Frontiers in Environmental Science, vol. 3, 42, Frontiers, 2015, doi:10.3389/fenvs.2015.00042.
LibreCat: https://research-explorer.ista.ac.at/record/10794
DOI: 10.3389/fenvs.2015.00042

Ruess, Jakob. “Minimal Moment Equations for Stochastic Models of Biochemical Reaction Networks with Partially Finite State Space.”10.1063/1.4937937__Journal of Chemical Physics, vol. 143, no. 24, 244103, American Institute of Physics, 2015, doi:10.1063/1.4937937.
LibreCat: https://research-explorer.ista.ac.at/record/1539
DOI: 10.1063/1.4937937

Ruess, Jakob, et al. “Iterative Experiment Design Guides the Characterization of a Light-Inducible Gene Expression Circuit.”10.1073/pnas.1423947112__PNAS, vol. 112, no. 26, National Academy of Sciences, 2015, pp. 8148–53, doi:10.1073/pnas.1423947112.
LibreCat: https://research-explorer.ista.ac.at/record/1538
DOI: 10.1073/pnas.1423947112
PMID: 26085136

Gilson, Matthieu, et al. “Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity.”10.3389/fncom.2015.00145__Frontiers in Computational Neuroscience, vol. 9, no. 11, 145, Frontiers Research Foundation, 2015, doi:10.3389/fncom.2015.00145.
LibreCat: https://research-explorer.ista.ac.at/record/1564
DOI: 10.3389/fncom.2015.00145

Der, Ralf, and Georg S. Martius. “Novel Plasticity Rule Can Explain the Development of Sensorimotor Intelligence.”10.1073/pnas.1508400112__PNAS, vol. 112, no. 45, National Academy of Sciences, 2015, pp. 24–32, doi:10.1073/pnas.1508400112.
LibreCat: https://research-explorer.ista.ac.at/record/1570
DOI: 10.1073/pnas.1508400112
PMID: 26504200

Bogomolov, Sergiy, et al. Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks. Vol. 9308, Springer, 2015, pp. 77–89, doi:10.1007/978-3-319-23401-4_8.
LibreCat: https://research-explorer.ista.ac.at/record/1658
DOI: 10.1007/978-3-319-23401-4_8

Marre, Olivier, et al. “High Accuracy Decoding of Dynamical Motion from a Large Retinal Population.”10.1371/journal.pcbi.1004304__PLoS Computational Biology, vol. 11, no. 7, e1004304, Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004304.
LibreCat: https://research-explorer.ista.ac.at/record/1697
DOI: 10.1371/journal.pcbi.1004304

Tkadik, Gasper, et al. “Thermodynamics and Signatures of Criticality in a Network of Neurons.”10.1073/pnas.1514188112__PNAS, vol. 112, no. 37, National Academy of Sciences, 2015, pp. 11508–13, doi:10.1073/pnas.1514188112.
LibreCat: https://research-explorer.ista.ac.at/record/1701
DOI: 10.1073/pnas.1514188112
PMID: 26330611

Ruess, Jakob, and John Lygeros. “Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks.”10.1145/2688906__ACM Transactions on Modeling and Computer Simulation, vol. 25, no. 2, 8, ACM, 2015, doi:10.1145/2688906.
LibreCat: https://research-explorer.ista.ac.at/record/1861
DOI: 10.1145/2688906

Tkadik, Gasper, et al. “Positional Information, Positional Error, and Readout Precision in Morphogenesis: A Mathematical Framework.”10.1534/genetics.114.171850__Genetics, vol. 199, no. 1, Genetics Society of America, 2015, pp. 39–59, doi:10.1534/genetics.114.171850.
LibreCat: https://research-explorer.ista.ac.at/record/1885
DOI: 10.1534/genetics.114.171850

Sokolowski, Thomas R., and Gasper Tkadik. “Optimizing Information Flow in Small Genetic Networks. IV. Spatial Coupling.”10.1103/PhysRevE.91.062710__Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 6, 062710, American Institute of Physics, 2015, doi:10.1103/PhysRevE.91.062710.
LibreCat: https://research-explorer.ista.ac.at/record/1940
DOI: 10.1103/PhysRevE.91.062710

Friedlander, Tamar, et al. Supporting Information Text. Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004055.s001.
LibreCat: https://research-explorer.ista.ac.at/record/9718
DOI: 10.1371/journal.pcbi.1004055.s001

Friedlander, Tamar, et al. “Evolution of Bow-Tie Architectures in Biology.”10.1371/journal.pcbi.1004055__PLoS Computational Biology, vol. 11, no. 3, Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004055.
LibreCat: https://research-explorer.ista.ac.at/record/1827
DOI: 10.1371/journal.pcbi.1004055

Friedlander, Tamar, et al. Evolutionary Simulation Code. Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004055.s002.
LibreCat: https://research-explorer.ista.ac.at/record/9773
DOI: 10.1371/journal.pcbi.1004055.s002

Tugrul, Murat, et al. Other Fitness Models for Comparison &; for Interacting TFBSs. Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.s001.
LibreCat: https://research-explorer.ista.ac.at/record/9712
DOI: 10.1371/journal.pgen.1005639.s001

Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.”10.1371/journal.pgen.1005639__PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.
LibreCat: https://research-explorer.ista.ac.at/record/1666
DOI: 10.1371/journal.pgen.1005639

Cepeda Humerez, Sarah A., et al. “Stochastic Proofreading Mechanism Alleviates Crosstalk in Transcriptional Regulation.”10.1103/PhysRevLett.115.248101__Physical Review Letters, vol. 115, no. 24, 248101, American Physical Society, 2015, doi:10.1103/PhysRevLett.115.248101.
LibreCat: https://research-explorer.ista.ac.at/record/1576
DOI: 10.1103/PhysRevLett.115.248101

Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.”10.3390/e17107266__Entropy, vol. 17, no. 10, MDPI, 2015, pp. 7266–97, doi:10.3390/e17107266.
LibreCat: https://research-explorer.ista.ac.at/record/1655
DOI: 10.3390/e17107266

Savin, Cristina, and Sophie Denève. Spatio-Temporal Representations of Uncertainty in Spiking Neural Networks. Vol. 3, no. January, Neural Information Processing Systems, 2014, pp. 2024–32.
LibreCat: https://research-explorer.ista.ac.at/record/1708

Hermundstad, Ann, et al. “Variance Predicts Salience in Central Sensory Processing.”10.7554/eLife.03722__ELife, no. November, e03722, eLife Sciences Publications, 2014, doi:10.7554/eLife.03722.
LibreCat: https://research-explorer.ista.ac.at/record/1886
DOI: 10.7554/eLife.03722

Kollár, Richard, et al. “Mathematical Model of Alternative Mechanism of Telomere Length Maintenance.”10.1103/PhysRevE.89.032701__Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 3, 032701, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.032701.
LibreCat: https://research-explorer.ista.ac.at/record/1896
DOI: 10.1103/PhysRevE.89.032701

Ezard, Thomas, et al. “The Fitness Costs of Adaptation via Phenotypic Plasticity and Maternal Effects.”10.1111/1365-2435.12207__Functional Ecology, vol. 28, no. 3, Wiley-Blackwell, 2014, pp. 693–701, doi:10.1111/1365-2435.12207.
LibreCat: https://research-explorer.ista.ac.at/record/1909
DOI: 10.1111/1365-2435.12207

Humplik, Jan, et al. “Evolutionary Dynamics of Infectious Diseases in Finite Populations.”10.1016/j.jtbi.2014.06.039__Journal of Theoretical Biology, vol. 360, Elsevier, 2014, pp. 149–62, doi:10.1016/j.jtbi.2014.06.039.
LibreCat: https://research-explorer.ista.ac.at/record/1928
DOI: 10.1016/j.jtbi.2014.06.039

Savin, Cristina, and Jochen Triesch. “Emergence of Task-Dependent Representations in Working Memory Circuits.”10.3389/fncom.2014.00057__Frontiers in Computational Neuroscience, vol. 8, no. MAY, 57, Frontiers Research Foundation, 2014, doi:10.3389/fncom.2014.00057.
LibreCat: https://research-explorer.ista.ac.at/record/1931
DOI: 10.3389/fncom.2014.00057

Bodova, Katarina, et al. “Characterizing Spiking in Noisy Type II Neurons.”10.1016/j.jtbi.2014.09.041__10.1016/j.jtbi.2014.09.041__Journal of Theoretical Biology, vol. 365, Academic Press, 2014, pp. 40–54, doi:10.1016/j.jtbi.2014.09.041.
LibreCat: https://research-explorer.ista.ac.at/record/2028
DOI: 10.1016/j.jtbi.2014.09.041

Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony in an Adaptive Network .”10.1103/PhysRevE.89.062809__Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 6, 062809, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.062809.
LibreCat: https://research-explorer.ista.ac.at/record/2183
DOI: 10.1103/PhysRevE.89.062809

Rieckh, Georg, and Gasper Tkadik. “Noise and Information Transmission in Promoters with Multiple Internal States.”10.1016/j.bpj.2014.01.014__Biophysical Journal, vol. 106, no. 5, Biophysical Society, 2014, pp. 1194–204, doi:10.1016/j.bpj.2014.01.014.
LibreCat: https://research-explorer.ista.ac.at/record/2231
DOI: 10.1016/j.bpj.2014.01.014
PMID: 24606943

Tkadik, Gasper, et al. “Adaptation to Changes in Higher-Order Stimulus Statistics in the Salamander Retina.”10.1371/journal.pone.0085841__PLoS One, vol. 9, no. 1, e85841, Public Library of Science, 2014, doi:10.1371/journal.pone.0085841.
LibreCat: https://research-explorer.ista.ac.at/record/3263
DOI: 10.1371/journal.pone.0085841

Prizak, Roshan, et al. “Fitness Consequences of Maternal and Grandmaternal Effects.”10.1002/ece3.1150__Ecology and Evolution, vol. 4, no. 15, Wiley-Blackwell, 2014, pp. 3139–45, doi:10.1002/ece3.1150.
LibreCat: https://research-explorer.ista.ac.at/record/537
DOI: 10.1002/ece3.1150