@article{1564, author = {Gilson, Matthieu and Savin, Cristina and Zenke, Friedemann}, journal = {Frontiers in Computational Neuroscience}, number = {11}, publisher = {Frontiers Research Foundation}, title = {{Editorial: Emergent neural computation from the interaction of different forms of plasticity}}, doi = {10.3389/fncom.2015.00145}, volume = {9}, year = {2015}, } @inproceedings{1568, abstract = {Aiming at the automatic diagnosis of tumors from narrow band imaging (NBI) magnifying endoscopy (ME) images of the stomach, we combine methods from image processing, computational topology, and machine learning to classify patterns into normal, tubular, vessel. Training the algorithm on a small number of images of each type, we achieve a high rate of correct classifications. The analysis of the learning algorithm reveals that a handful of geometric and topological features are responsible for the overwhelming majority of decisions.}, author = {Dunaeva, Olga and Edelsbrunner, Herbert and Lukyanov, Anton and Machin, Michael and Malkova, Daria}, booktitle = {Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing}, location = {Timisoara, Romania}, pages = {7034731}, publisher = {IEEE}, title = {{The classification of endoscopy images with persistent homology}}, doi = {10.1109/SYNASC.2014.81}, year = {2015}, } @inproceedings{1567, abstract = {My personal journey to the fascinating world of geometric forms started more than 30 years ago with the invention of alpha shapes in the plane. It took about 10 years before we generalized the concept to higher dimensions, we produced working software with a graphics interface for the three-dimensional case. At the same time, we added homology to the computations. Needless to say that this foreshadowed the inception of persistent homology, because it suggested the study of filtrations to capture the scale of a shape or data set. Importantly, this method has fast algorithms. The arguably most useful result on persistent homology is the stability of its diagrams under perturbations.}, author = {Edelsbrunner, Herbert}, booktitle = {23rd International Symposium}, location = {Los Angeles, CA, United States}, publisher = {Springer Nature}, title = {{Shape, homology, persistence, and stability}}, volume = {9411}, year = {2015}, } @article{1563, abstract = {For a given self-map $f$ of $M$, a closed smooth connected and simply-connected manifold of dimension $m\geq 4$, we provide an algorithm for estimating the values of the topological invariant $D^m_r[f]$, which equals the minimal number of $r$-periodic points in the smooth homotopy class of $f$. Our results are based on the combinatorial scheme for computing $D^m_r[f]$ introduced by G. Graff and J. Jezierski [J. Fixed Point Theory Appl. 13 (2013), 63-84]. An open-source implementation of the algorithm programmed in C++ is publicly available at {\tt http://www.pawelpilarczyk.com/combtop/}.}, author = {Graff, Grzegorz and Pilarczyk, Pawel}, journal = {Topological Methods in Nonlinear Analysis}, number = {1}, pages = {273 -- 286}, publisher = {Juliusz Schauder Center for Nonlinear Studies}, title = {{An algorithmic approach to estimating the minimal number of periodic points for smooth self-maps of simply-connected manifolds}}, doi = {10.12775/TMNA.2015.014}, volume = {45}, year = {2015}, } @article{1574, abstract = {Multiple plant developmental processes, such as lateral root development, depend on auxin distribution patterns that are in part generated by the PIN-formed family of auxin-efflux transporters. Here we propose that AUXIN RESPONSE FACTOR7 (ARF7) and the ARF7-regulated FOUR LIPS/MYB124 (FLP) transcription factors jointly form a coherent feed-forward motif that mediates the auxin-responsive PIN3 transcription in planta to steer the early steps of lateral root formation. This regulatory mechanism might endow the PIN3 circuitry with a temporal 'memory' of auxin stimuli, potentially maintaining and enhancing the robustness of the auxin flux directionality during lateral root development. The cooperative action between canonical auxin signalling and other transcription factors might constitute a general mechanism by which transcriptional auxin-sensitivity can be regulated at a tissue-specific level.}, author = {Chen, Qian and Liu, Yang and Maere, Steven and Lee, Eunkyoung and Van Isterdael, Gert and Xie, Zidian and Xuan, Wei and Lucas, Jessica and Vassileva, Valya and Kitakura, Saeko and Marhavy, Peter and Wabnik, Krzysztof T and Geldner, Niko and Benková, Eva and Le, Jie and Fukaki, Hidehiro and Grotewold, Erich and Li, Chuanyou and Friml, Jirí and Sack, Fred and Beeckman, Tom and Vanneste, Steffen}, journal = {Nature Communications}, publisher = {Nature Publishing Group}, title = {{A coherent transcriptional feed-forward motif model for mediating auxin-sensitive PIN3 expression during lateral root development}}, doi = {10.1038/ncomms9821}, volume = {6}, year = {2015}, }