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2016 | Conference Paper | IST-REx-ID: 1214
G. S. Martius, R. Hostettler, A. Knoll, and R. Der, “Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm,” presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea, 2016, vol. 2016–November.View | DOI
2016 | Conference Paper | IST-REx-ID: 1082
M. J. Chalk, O. Marre, and G. Tkacik, “Relevant sparse codes with variational information bottleneck,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.View | Files available | Download (ext.)
2016 | Journal Article | IST-REx-ID: 1171
G. Tkacik, “Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al.,” Physics of Life Reviews, vol. 17, pp. 166–167, 2016.View | DOI
2016 | Journal Article | IST-REx-ID: 1203
F. Hu et al., “Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination,” Journal of Clinical Microbiology, vol. 54, no. 12, pp. 3010–3017, 2016.View | DOI | Download (ext.)
2016 | Journal Article | IST-REx-ID: 1242
T. R. Sokolowski, A. Walczak, W. Bialek, and G. Tkacik, “Extending the dynamic range of transcription factor action by translational regulation,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2, 2016.View | DOI | Download (ext.)
2015 | Journal Article | IST-REx-ID: 1538
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, and J. Lygeros, “Iterative experiment design guides the characterization of a light-inducible gene expression circuit,” PNAS, vol. 112, no. 26, pp. 8148–8153, 2015.View | DOI | Download (ext.) | PubMed | Europe PMC
2013 | Journal Article | IST-REx-ID: 2850
G. Tkacik, O. Marre, T. Mora, D. Amodei, M. Berry, and W. Bialek, “The simplest maximum entropy model for collective behavior in a neural network,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 3, 2013.View | DOI | Download (ext.) | arXiv