Igler, Claudia, Mato Lagator, Gasper Tkadik, Jonathan P Bollback, and Calin C Guet. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”https://doi.org/10.1038/s41559-018-0651-y__Nature Ecology and Evolution. Nature Publishing Group, 2018.https://doi.org/10.1038/s41559-018-0651-y .

Igler, Claudia, Mato Lagator, Gasper Tkadik, Jonathan P Bollback, and Calin C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”https://doi.org/10.15479/AT:ISTA:108__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:108 .

Chait, Remy P, Jakob Ruess, Tobias Bergmiller, Gasper Tkadik, and Calin C Guet. “Shaping Bacterial Population Behavior through Computer Interfaced Control of Individual Cells.”https://doi.org/10.1038/s41467-017-01683-1__Nature Communications. Nature Publishing Group, 2017.https://doi.org/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.”https://doi.org/10.1109/DEVLRN.2016.7846789__IEEE, 2017.https://doi.org/10.1109/DEVLRN.2016.7846789 .

Der, Ralf, and Georg S Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.”https://doi.org/10.3389/fnbot.2017.00008__Frontiers in Neurorobotics. Frontiers Research Foundation, 2017.https://doi.org/10.3389/fnbot.2017.00008 .

Humplik, Jan, and Gasper Tkadik. “Probabilistic Models for Neural Populations That Naturally Capture Global Coupling and Criticality.”https://doi.org/10.1371/journal.pcbi.1005763__PLoS Computational Biology. Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005763 .

Harpaz, Roy, Gasper Tkadik, and Elad Schneidman. “Discrete Modes of Social Information Processing Predict Individual Behavior of Fish in a Group.”https://doi.org/10.1073/pnas.1703817114__PNAS. National Academy of Sciences, 2017.https://doi.org/10.1073/pnas.1703817114 .

Prentice, Jason, Olivier Marre, Mark Ioffe, Adrianna Loback, Gasper Tkadik, and Michael Berry. “Data from: Error-Robust Modes of the Retinal Population Code.”https://doi.org/10.5061/dryad.1f1rc__Dryad, 2017.https://doi.org/10.5061/dryad.1f1rc .

Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Sensory Noise Predicts Divisive Reshaping of Receptive Fields.”https://doi.org/10.1371/journal.pcbi.1005582__PLoS Computational Biology. Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005582 .

Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Supplementary Appendix.”https://doi.org/10.1371/journal.pcbi.1005582.s001__Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005582.s001 .

Mitosch, Karin, Georg Rieckh, and Mark Tobias Bollenbach. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.”https://doi.org/10.1016/j.cels.2017.03.001__Cell Systems. Cell Press, 2017.https://doi.org/10.1016/j.cels.2017.03.001 .

Martin Del Campo Sanchez, Abraham, Sarah A Cepeda Humerez, and Caroline Uhler. “Exact Goodness-of-Fit Testing for the Ising Model.”https://doi.org/10.1111/sjos.12251__Scandinavian Journal of Statistics. Wiley-Blackwell, 2017.https://doi.org/10.1111/sjos.12251 .

Deny, Stephane, Ulisse Ferrari, Emilie Mace, Pierre Yger, Romain Caplette, Serge Picaud, Gasper Tkadik, and Olivier Marre. “Multiplexed Computations in Retinal Ganglion Cells of a Single Type.”https://doi.org/10.1038/s41467-017-02159-y__Nature Communications. Nature Publishing Group, 2017.https://doi.org/10.1038/s41467-017-02159-y .

Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.”https://doi.org/10.1038/ncomms15140__Nature Communications. Nature Publishing Group, 2017.https://doi.org/10.1038/ncomms15140 .

Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gasper Tkadik. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”https://doi.org/10.1038/s41467-017-00238-8__Nature Communications. Nature Publishing Group, 2017.https://doi.org/10.1038/s41467-017-00238-8 .

De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.”https://doi.org/10.1103/PhysRevE.95.062419__https://doi.org/10.1103/PhysRevE.95.062419__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics, 2017.https://doi.org/10.1103/PhysRevE.95.062419 .

De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying the Entropic Cost of Cellular Growth Control.”https://doi.org/10.1103/PhysRevE.96.010401__https://doi.org/10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics, 2017.https://doi.org/10.1103/PhysRevE.96.010401 .

Zagórski, Marcin P, Yoji Tabata, Nathalie Brandenberg, Matthias Lutolf, Gasper Tkadik, Tobias Bollenbach, James Briscoe, and Anna Kicheva. “Decoding of Position in the Developing Neural Tube from Antiparallel Morphogen Gradients.”https://doi.org/10.1126/science.aam5887__Science. American Association for the Advancement of Science, 2017.https://doi.org/10.1126/science.aam5887 .

Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari. “Phase Transitions in Integer Linear Problems.”https://doi.org/10.1088/1742-5468/aa85c3__https://doi.org/10.1088/1742-5468/aa85c3__Journal of Statistical Mechanics: Theory and Experiment. IOPscience, 2017.https://doi.org/10.1088/1742-5468/aa85c3 .

Savin, Cristina, and Gasper Tkadik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.”https://doi.org/10.1016/j.conb.2017.08.001__Current Opinion in Neurobiology. Elsevier, 2017.https://doi.org/10.1016/j.conb.2017.08.001 .