Martius GS, Hostettler R, Knoll A, Der R. 2016. Self-organized control of an tendon driven arm by differential extrinsic plasticity. Proceedings of the Artificial Life Conference 2016. ALIFE 2016: 15th International Conference on the Synthesis and Simulation of Living Systems vol. 28, 142–143.

Prentice J, Marre O, Ioffe M, Loback A, Tkadik G, Berry M. 2016. Error-robust modes of the retinal population code. PLoS Computational Biology. 12(11), e1005855.

Monk T, Savin C, Lücke J. 2016. Neurons equipped with intrinsic plasticity learn stimulus intensity statistics. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 29, 4285–4293.

Hillenbrand P, Gerland U, Tkadik G. 2016. Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One. 11(9), e0163628.

Hillenbrand P, Gerland U, Tkadik G. 2016. Computation of positional information in an Ising model, Public Library of Science,10.1371/journal.pone.0163628.s002 .

Hillenbrand P, Gerland U, Tkadik G. 2016. Error bound on an estimator of position, Public Library of Science,10.1371/journal.pone.0163628.s001 .

Hillenbrand P, Gerland U, Tkadik G. 2016. Computation of positional information in a discrete morphogen field, Public Library of Science,10.1371/journal.pone.0163628.s003 .

Rieckh G. 2016. Studying the complexities of transcriptional regulation. Institute of Science and Technology Austria.

Friedlander T, Prizak R, Guet CC, Barton NH, Tkadik G. 2016. Intrinsic limits to gene regulation by global crosstalk. Nature Communications. 7, 12307.

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. 3, 42.

Ruess J. 2015. Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics. 143(24), 244103.

Ruess J, Parise F, Milias Argeitis A, Khammash M, Lygeros J. 2015. Iterative experiment design guides the characterization of a light-inducible gene expression circuit. PNAS. 112(26), 8148–8153.

Gilson M, Savin C, Zenke F. 2015. Editorial: Emergent neural computation from the interaction of different forms of plasticity. Frontiers in Computational Neuroscience. 9(11), 145.

Der R, Martius GS. 2015. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 112(45), 24–32.

Bogomolov S, Henzinger TA, Podelski A, Ruess J, Schilling C. 2015. Adaptive moment closure for parameter inference of biochemical reaction networks. 9308, 77–89.

Marre O, Botella Soler V, Simmons K, Mora T, Tkadik G, Berry M. 2015. High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology. 11(7), e1004304.

Tkadik G, Mora T, Marre O, Amodei D, Palmer S, Berry Ii M, Bialek W. 2015. Thermodynamics and signatures of criticality in a network of neurons. PNAS. 112(37), 11508–11513.

Ruess J, Lygeros J. 2015. Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks. ACM Transactions on Modeling and Computer Simulation. 25(2), 8.

Tkadik G, Dubuis J, Petkova M, Gregor T. 2015. Positional information, positional error, and readout precision in morphogenesis: A mathematical framework. Genetics. 199(1), 39–59.

Sokolowski TR, Tkadik G. 2015. Optimizing information flow in small genetic networks. IV. Spatial coupling. Physical Review E Statistical Nonlinear and Soft Matter Physics. 91(6), 062710.

Friedlander T, Mayo AE, Tlusty T, Alon U. 2015. Supporting information text, Public Library of Science,10.1371/journal.pcbi.1004055.s001 .

Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures in biology. PLoS Computational Biology. 11(3).

Friedlander T, Mayo AE, Tlusty T, Alon U. 2015. Evolutionary simulation code, Public Library of Science,10.1371/journal.pcbi.1004055.s002 .

Tugrul M, Paixao T, Barton NH, Tkadik G. 2015. Other fitness models for comparison &; for interacting TFBSs, Public Library of Science,10.1371/journal.pgen.1005639.s001 .

Tugrul M, Paixao T, Barton NH, Tkadik G. 2015. Dynamics of transcription factor binding site evolution. PLoS Genetics. 11(11).

Cepeda Humerez SA, Rieckh G, Tkadik G. 2015. Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation. Physical Review Letters. 115(24), 248101.

Martius GS, Olbrich E. 2015. Quantifying emergent behavior of autonomous robots. Entropy. 17(10), 7266–7297.

Savin C, Denève S. 2014. Spatio-temporal representations of uncertainty in spiking neural networks. NIPS: Neural Information Processing Systems vol. 3, 2024–2032.

Hermundstad A, Briguglio J, Conte M, Victor J, Balasubramanian V, Tkadik G. 2014. Variance predicts salience in central sensory processing. eLife. (November), e03722.

Kollár R, Bodova K, Nosek J, Tomáska d. 2014. Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(3), 032701.

Ezard T, Prizak R, Hoyle R. 2014. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 28(3), 693–701.

Humplik J, Hill A, Nowak M. 2014. Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology. 360, 149–162.

Savin C, Triesch J. 2014. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 8(MAY), 57.

Bodova K, Paydarfar D, Forger D. 2014. Characterizing spiking in noisy type II neurons.  Journal of Theoretical Biology. 365, 40–54.

Botella Soler V, Glendinning P. 2014. Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(6), 062809.

Rieckh G, Tkadik G. 2014. Noise and information transmission in promoters with multiple internal states. Biophysical Journal. 106(5), 1194–1204.

Tkadik G, Ghosh A, Schneidman E, Segev R. 2014. Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One. 9(1), e85841.

Prizak R, Ezard T, Hoyle R. 2014. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 4(15), 3139–3145.

Simmons K, Prentice J, Tkadik G, Homann J, Yee H, Palmer S, Nelson P, Balasubramanian V. 2014. Data from: Transformation of stimulus correlations by the retina, Dryad,10.5061/dryad.246qg .

Tkadik G, Marre O, Amodei D, Schneidman E, Bialek W, Berry M. 2014. Searching for collective behavior in a large network of sensory neurons. PLoS Computational Biology. 10(1), e1003408.

Valderrama M, Botella Soler V, Le Van Quyen M. 2013.Neuronal oscillations scale up and scale down the brain dynamics . In: Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Reviews of Nonlinear Dynamics and Complexity, .

Rajan K, Marre O, Tkadik G. 2013. Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. 25(7), 1661–1692.

Tkadik G, Marre O, Mora T, Amodei D, Berry M, Bialek W. 2013. The simplest maximum entropy model for collective behavior in a neural network. Journal of Statistical Mechanics Theory and Experiment. 2013(3), 011.

Berry M, Tkadik G, Dubuis J, Marre O, Da Silveira R. 2013. A simple method for estimating the entropy of neural activity. Journal of Statistical Mechanics Theory and Experiment. 2013(3), 015.

Granot Atedgi E, Tkadik G, Segev R, Schneidman E. 2013. Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology. 9(3), e1002922.

Botella Soler V, Oteo J, Ros J, Glendinning P. 2013. Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical. 46(12), 125101.

Tkadik G, Granot Atedgi E, Segev R, Schneidman E. 2013. Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters. 110(5), 058104.

Dubuis J, Tkadik G, Wieschaus E, Gregor T, Bialek W. 2013. Positional information, in bits. PNAS. 110(41), 16301–16308.

Wakamoto Y, Dhar N, Chait RP, Schneider K, Signorino Gelo F, Leibler S, Mckinney J. 2013. Dynamic persistence of antibiotic-stressed mycobacteria. Science. 339(6115), 91–95.

Simmons K, Prentice J, Tkadik G, Homann J, Yee H, Palmer S, Nelson P, Balasubramanian V. 2013. Transformation of stimulus correlations by the retina. PLoS Computational Biology. 9(12), e1003344.

Stephens G, Mora T, Tkadik G, Bialek W. 2013. Statistical thermodynamics of natural images. Physical Review Letters. 110(1), 018701.

Tkadik G, Walczak A, Bialek W. 2012. Optimizing information flow in small genetic networks. III. A self-interacting gene.  Physical Review E statistical nonlinear and soft matter physics . 85(4), 041903.

Rieckh G, Kreuzer W, Waubke H, Balazs P. 2012. A 2.5D-Fourier-BEM model for vibrations in a tunnel running through layered anisotropic soil.  Engineering Analysis with Boundary Elements. 36(6), 960–967.

Tkadik G, Walczak A. 2011. Information transmission in genetic regulatory networks a review. Journal of Physics: Condensed Matter. 23(15), 153102.

Tkadik G, Garrigan P, Ratliff C, Milcinski G, Klein J, Seyfarth L, Sterling P, Brainard D, Balasubramanian V. 2011. Natural images from the birthplace of the human eye. PLoS One. 6(6), e20409.