Network physiology of cortico–muscular interactions
R. Rizzo, X. Zhang, J.W.J.L. Wang, F. Lombardi, P.C. Ivanov, Frontiers in Physiology 11 (2020).

Nonequilibrium models of optimal enhancer function
R. Grah, B. Zoller, G. Tkadik, PNAS 117 (2020) 31614–31622.

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
F. Lombardi, M. Gómez-Extremera, P. Bernaola-Galván, R. Vetrivelan, C.B. Saper, T.E. Scammell, P.C. Ivanov, Journal of Neuroscience 40 (2020) 171–190.

Gene regulation across scales – how biophysical constraints shape evolution
R. Grah, Gene Regulation across Scales – How Biophysical Constraints Shape Evolution, Institute of Science and Technology Austria, 2020.

Normative models of enhancer function
R. Grah, B. Zoller, G. Tkadik, BioRxiv (2020).

The relation between crosstalk and gene regulation form revisited
R. Grah, T. Friedlander, PLOS Computational Biology 16 (2020).

Maximizing crosstalk
R. Grah, T. Friedlander, (2020).

Perturbations of protein synthesis: from antibiotics to genetics and physiology
B. Kavcic, Perturbations of Protein Synthesis: From Antibiotics to Genetics and Physiology, Institute of Science and Technology Austria, 2020.

Mechanisms of drug interactions between translation-inhibiting antibiotics
B. Kavcic, G. Tkadik, M.T. Bollenbach, Nature Communications 11 (2020).

A minimal biophysical model of combined antibiotic action
B. Kavcic, G. Tkadik, M.T. Bollenbach, BioRxiv (2020).

Gene amplification as a form of population-level gene expression regulation
I. Tomanek, R. Grah, M. Lagator, A.M.C. Andersson, J.P. Bollback, G. Tkadik, C.C. Guet, Nature Ecology &; Evolution 4 (2020) 612–625.

Action at a distance in transcriptional regulation
W. Bialek, T. Gregor, G. Tkadik, ArXiv:1912.08579 (n.d.).

Optimal decoding of cellular identities in a genetic network
M.D. Petkova, G. Tkadik, W. Bialek, E.F. Wieschaus, T. Gregor, Cell 176 (2019) 844–855.e15.

Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
D. De Martino, Journal of Physics A: Mathematical and Theoretical 52 (2019).

Temporal order and precision of complex stress responses in individual bacteria
K. Mitosch, G. Rieckh, M.T. Bollenbach, Molecular Systems Biology 15 (2019).

Molecular noise of innate immunity shapes bacteria-phage ecologies
J. Ruess, M. Pleska, C.C. Guet, G. Tkadik, PLoS Computational Biology 15 (2019).

Supporting text and results
J. Ruess, M. Pleska, C.C. Guet, G. Tkadik, (2019).

eGFRD in all dimensions
T.R. Sokolowski, J. Paijmans, L. Bossen, T. Miedema, M. Wehrens, N.B. Becker, K. Kaizu, K. Takahashi, M. Dogterom, P.R. ten Wolde, The Journal of Chemical Physics 150 (2019).

Estimating information in time-varying signals
S.A. Cepeda Humerez, J. Ruess, G. Tkadik, PLoS Computational Biology 15 (2019) e1007290.

Harmonic dynamics of the Abelian sandpile
M. Lang, M. Shkolnikov, Proceedings of the National Academy of Sciences 116 (2019) 2821–2830.

Limiting shapes of confined lipid vesicles
B. Kavcic, A. Sakashita, H. Noguchi, P. Ziherl, Soft Matter 15 (2019) 602–614.

Estimating information flow in single cells
S.A. Cepeda Humerez, Estimating Information Flow in Single Cells, Institute of Science and Technology Austria, 2019.

Coevolution of transcription factors and their binding sites in sequence space
R. Prizak, Coevolution of Transcription Factors and Their Binding Sites in Sequence Space, Institute of Science and Technology Austria, 2019.

Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture
J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019).

Receptor crosstalk improves concentration sensing of multiple ligands
M. Carballo-Pacheco, J. Desponds, T. Gavrilchenko, A. Mayer, R. Prizak, G. Reddy, I. Nemenman, T. Mora, Physical Review E 99 (2019).

A tight upper bound on mutual information
M. Hledik, T.R. Sokolowski, G. Tkadik, in:, IEEE Information Theory Workshop, ITW 2019, IEEE, 2019.

An introduction to the maximum entropy approach and its application to inference problems in biology
A. De Martino, D. De Martino, Heliyon 4 (2018).

Fabrication and operation of microfluidic hanging drop networks
P. Misun, A. Birchler, M. Lang, A. Hierlemann, O. Frey, Methods in Molecular Biology 1771 (2018) 183–202.

Distributed and dynamic intracellular organization of extracellular information
A. Granados, J. Pietsch, S.A. Cepeda Humerez, I. Farquhar, G. Tkadik, P. Swain, PNAS 115 (2018) 6088–6093.

Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system
K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, Genetics 209 (2018) 861–883.

Supplemental material for Bodova et al., 2018
K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, (2018).

Probabilistic models of individual and collective animal behavior
K. Bod’Ová, G. Mitchell, R. Harpaz, E. Schneidman, G. Tkadik, PLoS One 13 (2018).

Phage-host population dynamics promotes prophage acquisition in bacteria with innate immunity
M. Pleska, M. Lang, D. Refardt, B. Levin, C.C. Guet, Nature Ecology and Evolution 2 (2018) 359–366.

Implementation of the inference method in Matlab
K. Bod’Ová, G. Mitchell, R. Harpaz, E. Schneidman, G. Tkadik, (2018).

Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons
U. Ferrari, S. Deny, M.J. Chalk, G. Tkadik, O. Marre, T. Mora, Physical Review E 98 (2018).

Toward a unified theory of efficient, predictive, and sparse coding
M.J. Chalk, O. Marre, G. Tkadik, PNAS 115 (2018) 186–191.

Well posedness and maximum entropy approximation for the dynamics of quantitative traits
K. Bodova, J. Haskovec, P. Markowich, Physica D: Nonlinear Phenomena 376–377 (2018) 108–120.

Nonoptimal gene expression creates latent potential for antibiotic resistance
A. Palmer, R.P. Chait, R. Kishony, Molecular Biology and Evolution 35 (2018) 2669–2684.

Nonlinear decoding of a complex movie from the mammalian retina
V. Botella Soler, S. Deny, G.S. Martius, O. Marre, G. Tkadik, PLoS Computational Biology 14 (2018).

Statistical mechanics for metabolic networks during steady state growth
D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkadik, Nature Communications 9 (2018).

Evolutionary potential of transcription factors for gene regulatory rewiring
C. Igler, M. Lagator, G. Tkadik, J.P. Bollback, C.C. Guet, Nature Ecology and Evolution 2 (2018) 1633–1643.

Shaping bacterial population behavior through computer interfaced control of individual cells
R.P. Chait, J. Ruess, T. Bergmiller, G. Tkadik, C.C. Guet, Nature Communications 8 (2017).

Dynamical self consistency leads to behavioral development and emergent social interactions in robots
R. Der, G.S. Martius, in:, IEEE, 2017.

Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).

Probabilistic models for neural populations that naturally capture global coupling and criticality
J. Humplik, G. Tkadik, PLoS Computational Biology 13 (2017).

Discrete modes of social information processing predict individual behavior of fish in a group
R. Harpaz, G. Tkadik, E. Schneidman, PNAS 114 (2017) 10149–10154.

Data from: Error-robust modes of the retinal population code
J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkadik, M. Berry, (2017).

Sensory noise predicts divisive reshaping of receptive fields
M.J. Chalk, P. Masset, B. Gutkin, S. Denève, PLoS Computational Biology 13 (2017).

Supplementary appendix
M.J. Chalk, P. Masset, B. Gutkin, S. Denève, (2017).

Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment
K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.

Exact goodness-of-fit testing for the Ising model
A. Martin Del Campo Sanchez, S.A. Cepeda Humerez, C. Uhler, Scandinavian Journal of Statistics 44 (2017) 285–306.

Multiplexed computations in retinal ganglion cells of a single type
S. Deny, U. Ferrari, E. Mace, P. Yger, R. Caplette, S. Picaud, G. Tkadik, O. Marre, Nature Communications 8 (2017).

Subsampling scaling
A. Levina (Martius), V. Priesemann, Nature Communications 8 (2017).

Evolution of new regulatory functions on biophysically realistic fitness landscapes
T. Friedlander, R. Prizak, N.H. Barton, G. Tkadik, Nature Communications 8 (2017).

Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
D. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  95 (2017) 062419.

Quantifying the entropic cost of cellular growth control
D. De Martino, F. Capuani, A. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  96 (2017).

Decoding of position in the developing neural tube from antiparallel morphogen gradients
M.P. Zagórski, Y. Tabata, N. Brandenberg, M. Lutolf, G. Tkadik, T. Bollenbach, J. Briscoe, A. Kicheva, Science 356 (2017) 1379–1383.

Phase transitions in integer linear problems
S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari,  Journal of Statistical Mechanics: Theory and Experiment 2017 (2017).

Maximum entropy models as a tool for building precise neural controls
C. Savin, G. Tkadik, Current Opinion in Neurobiology 46 (2017) 120–126.

Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
D. De Martino, Physical Review E 96 (2017).

Zeros of nonlinear systems with input invariances
M. Lang, E. Sontag, Automatica 81C (2017) 46–55.

Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity
T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild, G. Tkadik, C.C. Guet, Science 356 (2017) 311–315.

An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate
V. Barone, M. Lang, G. Krens, S. Pradhan, S. Shamipour, K. Sako, M.K. Sikora, C.C. Guet, C.-P.J. Heisenberg, Developmental Cell 43 (2017) 198–211.

Relevant sparse codes with variational information bottleneck
M.J. Chalk, O. Marre, G. Tkadik, in:, Neural Information Processing Systems, 2016, pp. 1965–1973.

Estimating nonlinear neural response functions using GP priors and Kronecker methods
C. Savin, G. Tkadik, in:, Neural Information Processing Systems, 2016, pp. 3610–3618.

Modular parameter identification of biomolecular networks
M. Lang, J. Stelling, SIAM Journal on Scientific Computing 38 (2016) 8–08.

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.
G. Tkadik, Physics of Life Reviews 17 (2016) 166–167.

Asymptotic analysis of noisy fitness maximization, applied to metabolism &amp; growth
D. De Martino, D. Masoero,  Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).

Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination
F. Hu, L. Rishishwar, A. Sivadas, G. Mitchell, J. King, T. Murphy, J. Gilsdorf, L. Mayer, X. Wang, Journal of Clinical Microbiology 54 (2016) 3010–3017.

Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.

Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency
G. Miki, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.

Extending the dynamic range of transcription factor action by translational regulation
T.R. Sokolowski, A. Walczak, W. Bialek, G. Tkadik, Physical Review E Statistical Nonlinear and Soft Matter Physics 93 (2016).

Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells
P. Recouvreux, T.R. Sokolowski, A. Grammoustianou, P. Tenwolde, M. Dogterom, PNAS 113 (2016) 1811–1816.

Information processing in living systems
G. Tkadik, W. Bialek, Annual Review of Condensed Matter Physics 7 (2016) 89–117.

The dual of the space of interactions in neural network models
D. De Martino, International Journal of Modern Physics C 27 (2016).

Neural oscillations as a signature of efficient coding in the presence of synaptic delays
M.J. Chalk, B. Gutkin, S. Denève, ELife 5 (2016).

Compounds that select against the tetracycline-resistance efflux pump
L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature Chemical Biology 12 (2016) 902–904.

Scale-invariant systems realize nonlinear differential operators
M. Lang, E. Sontag, in:, IEEE, 2016.

Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments
R.P. Chait, A. Palmer, I. Yelin, R. Kishony, Nature Communications 7 (2016).

Spatiotemporal microbial evolution on antibiotic landscapes
M. Baym, T. Lieberman, E. Kelsic, R.P. Chait, R. Gross, I. Yelin, R. Kishony, Science 353 (2016) 1147–1151.

Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).

A general approximation for the dynamics of quantitative traits
K. Bodova, G. Tkadik, N.H. Barton, Genetics 202 (2016) 1523–1548.

Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
D. De Martino, Physical Biology 13 (2016).

Adaptive moment closure for parameter inference of biochemical reaction networks
C. Schilling, S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, Biosystems 149 (2016) 15–25.

Self-organized control of an tendon driven arm by differential extrinsic plasticity
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, Proceedings of the Artificial Life Conference 2016, MIT Press, 2016, pp. 142–143.

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

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

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

Computation of positional information in an Ising model
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).

Error bound on an estimator of position
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).

Computation of positional information in a discrete morphogen field
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).

Studying the complexities of transcriptional regulation
G. Rieckh, Studying the Complexities of Transcriptional Regulation, Institute of Science and Technology Austria, 2016.

Intrinsic limits to gene regulation by global crosstalk
T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkadik, Nature Communications 7 (2016).

Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study
F. Parise, J. Lygeros, J. Ruess, Frontiers in Environmental Science 3 (2015).

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

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

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

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

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

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