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M. Berry, G. Tkadik, J. Dubuis, O. Marre, and R. Da Silveira, “A simple method for estimating the entropy of neural activity,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 3. IOP Publishing Ltd., 2013.
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S. Hippenmeyer, R. Johnson, and L. Luo, “Mosaic analysis with double markers reveals cell type specific paternal growth dominance,” Cell Reports, vol. 3, no. 3. Cell Press, pp. 960–967, 2013.
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E. Granot Atedgi, G. Tkadik, R. Segev, and E. Schneidman, “Stimulus-dependent maximum entropy models of neural population codes,” PLoS Computational Biology, vol. 9, no. 3. Public Library of Science, 2013.
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H. Tay et al., “Lethal giant larvae 2 regulates development of the ciliated organ Kupffer’s vesicle,” Development, vol. 140, no. 7. Company of Biologists, pp. 1550–1559, 2013.
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V. Botella Soler, J. Oteo, J. Ros, and P. Glendinning, “Lyapunov exponent and topological entropy plateaus in piecewise linear maps,” Journal of Physics A: Mathematical and Theoretical, vol. 46, no. 12. IOP Publishing Ltd., 2013.
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F. Vandenbussche, P. Callebert, P. dádníková, E. Benková, and D. Van Der Straeten, “Brassinosteroid control of shoot gravitropism interacts with ethylene and depends on auxin signaling components,” American Journal of Botany, vol. 100, no. 1. Botanical Society of America, pp. 215–225, 2013.
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C. Löfke, M. Zwiewka, I. Heilmann, M. Van Montagu, T. Teichmann, and J. Friml, “Asymmetric gibberellin signaling regulates vacuolar trafficking of PIN auxin transporters during root gravitropism,” PNAS, vol. 110, no. 9. National Academy of Sciences, pp. 3627–3632, 2013.
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A. Kucera, T. A. Henzinger, J. Nesetril, T. Vojnar, and D. Antos, Eds., Mathematical and Engineering Methods in Computer Science, vol. 7721. Springer, 2013, pp. 1–228.
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H. Li et al., “Cytokinin signaling regulates pavement cell morphogenesis in Arabidopsis,” Cell Research, vol. 23, no. 2. Nature Publishing Group, pp. 290–299, 2013.
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J.-L. Maître et al., “Cell adhesion mechanics of zebrafish gastrulation,” Medecine Sciences, vol. 29, no. 2. Éditions Médicales et Scientifiques, pp. 147–150, 2013.
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M. Chmelik and V. ehák, “Controllable-choice message sequence graphs,” vol. 7721. Springer, pp. 118–130, 2013.
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S. Fang et al., “Genotypic recognition and spatial responses by rice roots,” PNAS, vol. 110, no. 7. National Academy of Sciences, pp. 2670–2675, 2013.
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C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, and C. Lampert, “Computing the M most probable modes of a graphical model,” presented at the  AISTATS: Conference on Uncertainty in Artificial Intelligence, Scottsdale, AZ, United States, 2013, vol. 31, pp. 161–169.
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