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.

Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring
C. Igler, M. Lagator, G. Tkadik, J.P. Bollback, C.C. Guet, (2018).

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.

Multi-electrode array recording from salamander retinal ganglion cells
O. Marre, G. Tkadik, D. Amodei, E. Schneidman, W. Bialek, M. Berry, (2017).

Biased partitioning of the multi-drug 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, (2017).

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.