[{"title":"Netrin-G/NGL complexes encode functional synaptic diversification","author":[{"first_name":"Hiroshi","full_name":"Matsukawa, Hiroshi","last_name":"Matsukawa"},{"first_name":"Sachiko","last_name":"Akiyoshi Nishimura","full_name":"Akiyoshi Nishimura, Sachiko"},{"first_name":"Qi","full_name":"Zhang, Qi","last_name":"Zhang"},{"first_name":"Rafael","last_name":"Luján","full_name":"Luján, Rafael"},{"first_name":"Kazuhiko","full_name":"Yamaguchi, Kazuhiko","last_name":"Yamaguchi"},{"full_name":"Goto, Hiromichi","last_name":"Goto","first_name":"Hiromichi"},{"first_name":"Kunio","full_name":"Yaguchi, Kunio","last_name":"Yaguchi"},{"first_name":"Tsutomu","full_name":"Hashikawa, Tsutomu","last_name":"Hashikawa"},{"full_name":"Sano, Chie","last_name":"Sano","first_name":"Chie"},{"full_name":"Shigemoto, Ryuichi","orcid":"0000-0001-8761-9444","last_name":"Shigemoto","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi"},{"full_name":"Nakashiba, Toshiaki","last_name":"Nakashiba","first_name":"Toshiaki"},{"full_name":"Itohara, Shigeyoshi","last_name":"Itohara","first_name":"Shigeyoshi"}],"publist_id":"5054","external_id":{"pmid":["25411505"]},"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Matsukawa, Hiroshi, Sachiko Akiyoshi Nishimura, Qi Zhang, Rafael Luján, Kazuhiko Yamaguchi, Hiromichi Goto, Kunio Yaguchi, et al. “Netrin-G/NGL Complexes Encode Functional Synaptic Diversification.” Journal of Neuroscience. Society for Neuroscience, 2014. https://doi.org/10.1523/JNEUROSCI.1141-14.2014.","ista":"Matsukawa H, Akiyoshi Nishimura S, Zhang Q, Luján R, Yamaguchi K, Goto H, Yaguchi K, Hashikawa T, Sano C, Shigemoto R, Nakashiba T, Itohara S. 2014. Netrin-G/NGL complexes encode functional synaptic diversification. Journal of Neuroscience. 34(47), 15779–15792.","mla":"Matsukawa, Hiroshi, et al. “Netrin-G/NGL Complexes Encode Functional Synaptic Diversification.” Journal of Neuroscience, vol. 34, no. 47, Society for Neuroscience, 2014, pp. 15779–92, doi:10.1523/JNEUROSCI.1141-14.2014.","ieee":"H. Matsukawa et al., “Netrin-G/NGL complexes encode functional synaptic diversification,” Journal of Neuroscience, vol. 34, no. 47. Society for Neuroscience, pp. 15779–15792, 2014.","short":"H. Matsukawa, S. Akiyoshi Nishimura, Q. Zhang, R. Luján, K. Yamaguchi, H. Goto, K. Yaguchi, T. Hashikawa, C. Sano, R. Shigemoto, T. Nakashiba, S. Itohara, Journal of Neuroscience 34 (2014) 15779–15792.","ama":"Matsukawa H, Akiyoshi Nishimura S, Zhang Q, et al. Netrin-G/NGL complexes encode functional synaptic diversification. Journal of Neuroscience. 2014;34(47):15779-15792. doi:10.1523/JNEUROSCI.1141-14.2014","apa":"Matsukawa, H., Akiyoshi Nishimura, S., Zhang, Q., Luján, R., Yamaguchi, K., Goto, H., … Itohara, S. (2014). Netrin-G/NGL complexes encode functional synaptic diversification. Journal of Neuroscience. Society for Neuroscience. https://doi.org/10.1523/JNEUROSCI.1141-14.2014"},"publisher":"Society for Neuroscience","quality_controlled":"1","oa":1,"acknowledgement":"This work was supported by “Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST Program)” initiated by the Council for Science and Technology Policy.","date_published":"2014-11-19T00:00:00Z","doi":"10.1523/JNEUROSCI.1141-14.2014","date_created":"2018-12-11T11:55:14Z","page":"15779 - 15792","day":"19","publication":"Journal of Neuroscience","has_accepted_license":"1","year":"2014","status":"public","article_type":"original","type":"journal_article","_id":"2018","department":[{"_id":"RySh"}],"file_date_updated":"2022-05-24T08:41:41Z","ddc":["570"],"date_updated":"2022-05-24T08:54:54Z","month":"11","intvolume":" 34","scopus_import":"1","oa_version":"Published Version","pmid":1,"abstract":[{"text":"Synaptic cell adhesion molecules are increasingly gaining attention for conferring specific properties to individual synapses. Netrin-G1 and netrin-G2 are trans-synaptic adhesion molecules that distribute on distinct axons, and their presence restricts the expression of their cognate receptors, NGL1 and NGL2, respectively, to specific subdendritic segments of target neurons. However, the neural circuits and functional roles of netrin-G isoform complexes remain unclear. Here, we use netrin-G-KO and NGL-KO mice to reveal that netrin-G1/NGL1 and netrin-G2/NGL2 interactions specify excitatory synapses in independent hippocampal pathways. In the hippocampal CA1 area, netrin-G1/NGL1 and netrin-G2/NGL2 were expressed in the temporoammonic and Schaffer collateral pathways, respectively. The lack of presynaptic netrin-Gs led to the dispersion of NGLs from postsynaptic membranes. In accord, netrin-G mutant synapses displayed opposing phenotypes in long-term and short-term plasticity through discrete biochemical pathways. The plasticity phenotypes in netrin-G-KOs were phenocopied in NGL-KOs, with a corresponding loss of netrin-Gs from presynaptic membranes. Our findings show that netrin-G/NGL interactions differentially control synaptic plasticity in distinct circuits via retrograde signaling mechanisms and explain how synaptic inputs are diversified to control neuronal activity.","lang":"eng"}],"issue":"47","volume":34,"file":[{"success":1,"file_id":"11410","checksum":"6913e9bc26e9fc1c0441a739a4199229","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"2014_JournNeuroscience_Matsukawa.pdf","date_created":"2022-05-24T08:41:41Z","creator":"dernst","file_size":3963728,"date_updated":"2022-05-24T08:41:41Z"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1529-2401"],"issn":["0270-6474"]},"publication_status":"published"},{"date_updated":"2021-01-12T06:54:45Z","department":[{"_id":"LaEr"}],"_id":"2019","status":"public","type":"journal_article","language":[{"iso":"eng"}],"publication_status":"published","issue":"3-4","volume":17,"ec_funded":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"We prove that the empirical density of states of quantum spin glasses on arbitrary graphs converges to a normal distribution as long as the maximal degree is negligible compared with the total number of edges. This extends the recent results of Keating et al. (2014) that were proved for graphs with bounded chromatic number and with symmetric coupling distribution. Furthermore, we generalise the result to arbitrary hypergraphs. We test the optimality of our condition on the maximal degree for p-uniform hypergraphs that correspond to p-spin glass Hamiltonians acting on n distinguishable spin- 1/2 particles. At the critical threshold p = n1/2 we find a sharp classical-quantum phase transition between the normal distribution and the Wigner semicircle law. The former is characteristic to classical systems with commuting variables, while the latter is a signature of noncommutative random matrix theory."}],"month":"12","intvolume":" 17","scopus_import":1,"main_file_link":[{"url":"http://arxiv.org/abs/1407.1552","open_access":"1"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Erdös L, Schröder DJ. 2014. Phase transition in the density of states of quantum spin glasses. Mathematical Physics, Analysis and Geometry. 17(3–4), 441–464.","chicago":"Erdös, László, and Dominik J Schröder. “Phase Transition in the Density of States of Quantum Spin Glasses.” Mathematical Physics, Analysis and Geometry. Springer, 2014. https://doi.org/10.1007/s11040-014-9164-3.","apa":"Erdös, L., & Schröder, D. J. (2014). Phase transition in the density of states of quantum spin glasses. Mathematical Physics, Analysis and Geometry. Springer. https://doi.org/10.1007/s11040-014-9164-3","ama":"Erdös L, Schröder DJ. Phase transition in the density of states of quantum spin glasses. Mathematical Physics, Analysis and Geometry. 2014;17(3-4):441-464. doi:10.1007/s11040-014-9164-3","ieee":"L. Erdös and D. J. Schröder, “Phase transition in the density of states of quantum spin glasses,” Mathematical Physics, Analysis and Geometry, vol. 17, no. 3–4. Springer, pp. 441–464, 2014.","short":"L. Erdös, D.J. Schröder, Mathematical Physics, Analysis and Geometry 17 (2014) 441–464.","mla":"Erdös, László, and Dominik J. Schröder. “Phase Transition in the Density of States of Quantum Spin Glasses.” Mathematical Physics, Analysis and Geometry, vol. 17, no. 3–4, Springer, 2014, pp. 441–64, doi:10.1007/s11040-014-9164-3."},"title":"Phase transition in the density of states of quantum spin glasses","author":[{"last_name":"Erdös","orcid":"0000-0001-5366-9603","full_name":"Erdös, László","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","first_name":"László"},{"first_name":"Dominik J","last_name":"Schröder","full_name":"Schröder, Dominik J"}],"publist_id":"5053","project":[{"call_identifier":"FP7","_id":"258DCDE6-B435-11E9-9278-68D0E5697425","name":"Random matrices, universality and disordered quantum systems","grant_number":"338804"}],"day":"17","publication":"Mathematical Physics, Analysis and Geometry","year":"2014","date_published":"2014-12-17T00:00:00Z","doi":"10.1007/s11040-014-9164-3","date_created":"2018-12-11T11:55:15Z","page":"441 - 464","quality_controlled":"1","publisher":"Springer","oa":1},{"intvolume":" 14","month":"10","main_file_link":[{"url":"http://arxiv.org/abs/1209.0285","open_access":"1"}],"scopus_import":1,"oa_version":"Submitted Version","abstract":[{"text":"An asymptotic theory is developed for computing volumes of regions in the parameter space of a directed Gaussian graphical model that are obtained by bounding partial correlations. We study these volumes using the method of real log canonical thresholds from algebraic geometry. Our analysis involves the computation of the singular loci of correlation hypersurfaces. Statistical applications include the strong-faithfulness assumption for the PC algorithm and the quantification of confounder bias in causal inference. A detailed analysis is presented for trees, bow ties, tripartite graphs, and complete graphs.\r\n","lang":"eng"}],"issue":"5","volume":14,"language":[{"iso":"eng"}],"publication_status":"published","status":"public","type":"journal_article","_id":"2013","department":[{"_id":"CaUh"}],"date_updated":"2021-01-12T06:54:43Z","oa":1,"quality_controlled":"1","publisher":"Springer","acknowledgement":"This work was supported in part by the US National Science Foundation (DMS-0968882) and the Defense Advanced Research Projects Agency (DARPA) Deep Learning program (FA8650-10-C-7020).","date_created":"2018-12-11T11:55:12Z","date_published":"2014-10-10T00:00:00Z","doi":"10.1007/s10208-014-9205-0","page":"1079 - 1116","publication":"Foundations of Computational Mathematics","day":"10","year":"2014","title":"Hypersurfaces and their singularities in partial correlation testing","author":[{"first_name":"Shaowei","full_name":"Lin, Shaowei","last_name":"Lin"},{"orcid":"0000-0002-7008-0216","full_name":"Uhler, Caroline","last_name":"Uhler","first_name":"Caroline","id":"49ADD78E-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Sturmfels","full_name":"Sturmfels, Bernd","first_name":"Bernd"},{"first_name":"Peter","last_name":"Bühlmann","full_name":"Bühlmann, Peter"}],"publist_id":"5063","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Lin, Shaowei, et al. “Hypersurfaces and Their Singularities in Partial Correlation Testing.” Foundations of Computational Mathematics, vol. 14, no. 5, Springer, 2014, pp. 1079–116, doi:10.1007/s10208-014-9205-0.","short":"S. Lin, C. Uhler, B. Sturmfels, P. Bühlmann, Foundations of Computational Mathematics 14 (2014) 1079–1116.","ieee":"S. Lin, C. Uhler, B. Sturmfels, and P. Bühlmann, “Hypersurfaces and their singularities in partial correlation testing,” Foundations of Computational Mathematics, vol. 14, no. 5. Springer, pp. 1079–1116, 2014.","ama":"Lin S, Uhler C, Sturmfels B, Bühlmann P. Hypersurfaces and their singularities in partial correlation testing. Foundations of Computational Mathematics. 2014;14(5):1079-1116. doi:10.1007/s10208-014-9205-0","apa":"Lin, S., Uhler, C., Sturmfels, B., & Bühlmann, P. (2014). Hypersurfaces and their singularities in partial correlation testing. Foundations of Computational Mathematics. Springer. https://doi.org/10.1007/s10208-014-9205-0","chicago":"Lin, Shaowei, Caroline Uhler, Bernd Sturmfels, and Peter Bühlmann. “Hypersurfaces and Their Singularities in Partial Correlation Testing.” Foundations of Computational Mathematics. Springer, 2014. https://doi.org/10.1007/s10208-014-9205-0.","ista":"Lin S, Uhler C, Sturmfels B, Bühlmann P. 2014. Hypersurfaces and their singularities in partial correlation testing. Foundations of Computational Mathematics. 14(5), 1079–1116."}},{"_id":"2017","status":"public","type":"preprint","extern":1,"citation":{"chicago":"Uhler, Caroline, Alex Lenkoski, and Donald Richards. “ Exact Formulas for the Normalizing Constants of Wishart Distributions for Graphical Models.” ArXiv. ArXiv, 2014.","ista":"Uhler C, Lenkoski A, Richards D. 2014. Exact formulas for the normalizing constants of Wishart distributions for graphical models. ArXiv, .","mla":"Uhler, Caroline, et al. “ Exact Formulas for the Normalizing Constants of Wishart Distributions for Graphical Models.” ArXiv, ArXiv, 2014.","apa":"Uhler, C., Lenkoski, A., & Richards, D. (2014). Exact formulas for the normalizing constants of Wishart distributions for graphical models. ArXiv. ArXiv.","ama":"Uhler C, Lenkoski A, Richards D. Exact formulas for the normalizing constants of Wishart distributions for graphical models. ArXiv. 2014.","short":"C. Uhler, A. Lenkoski, D. Richards, ArXiv (2014).","ieee":"C. Uhler, A. Lenkoski, and D. Richards, “ Exact formulas for the normalizing constants of Wishart distributions for graphical models,” ArXiv. ArXiv, 2014."},"date_updated":"2021-01-12T06:54:44Z","title":" Exact formulas for the normalizing constants of Wishart distributions for graphical models","author":[{"orcid":"0000-0002-7008-0216","full_name":"Caroline Uhler","last_name":"Uhler","id":"49ADD78E-F248-11E8-B48F-1D18A9856A87","first_name":"Caroline"},{"last_name":"Lenkoski","full_name":"Lenkoski, Alex","first_name":"Alex"},{"first_name":"Donald","full_name":"Richards, Donald","last_name":"Richards"}],"publist_id":"5058","acknowledgement":"A.L.'s research was supported by Statistics for Innovation sfi2 in Oslo.\nD.R.'s research was partially supported by the U.S. National Science Foun-dation grant DMS-1309808; and by a Romberg Guest Professorship at the Heidelberg University Graduate School for Mathematical and Computational Methods in the Sciences, funded by German Universities Excellence Initiative grant GSC 220/2.","abstract":[{"lang":"eng","text":" Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities. In Bayesian treatments of this model, the G-Wishart distribution serves as the conjugate prior for inverse covariance matrices satisfying graphical constraints. While it is straightforward to posit the unnormalized densities, the normalizing constants of these distributions have been known only for graphs that are chordal, or decomposable. Up until now, it was unknown whether the normalizing constant for a general graph could be represented explicitly, and a considerable body of computational literature emerged that attempted to avoid this apparent intractability. We close this question by providing an explicit representation of the G-Wishart normalizing constant for general graphs."}],"month":"06","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1406.4901"}],"oa":1,"quality_controlled":0,"publisher":"ArXiv","publication":"ArXiv","day":"18","publication_status":"published","year":"2014","date_created":"2018-12-11T11:55:14Z","date_published":"2014-06-18T00:00:00Z"},{"intvolume":" 159","month":"11","scopus_import":1,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Radial glial progenitors (RGPs) are responsible for producing nearly all neocortical neurons. To gain insight into the patterns of RGP division and neuron production, we quantitatively analyzed excitatory neuron genesis in the mouse neocortex using Mosaic Analysis with Double Markers, which provides single-cell resolution of progenitor division patterns and potential in vivo. We found that RGPs progress through a coherent program in which their proliferative potential diminishes in a predictable manner. Upon entry into the neurogenic phase, individual RGPs produce ∼8–9 neurons distributed in both deep and superficial layers, indicating a unitary output in neuronal production. Removal of OTX1, a transcription factor transiently expressed in RGPs, results in both deep- and superficial-layer neuron loss and a reduction in neuronal unit size. Moreover, ∼1/6 of neurogenic RGPs proceed to produce glia. These results suggest that progenitor behavior and histogenesis in the mammalian neocortex conform to a remarkably orderly and deterministic program."}],"ec_funded":1,"volume":159,"issue":"4","language":[{"iso":"eng"}],"file":[{"file_name":"IST-2016-423-v1+1_1-s2.0-S0092867414013154-main.pdf","date_created":"2018-12-12T10:08:47Z","file_size":4435787,"date_updated":"2020-07-14T12:45:25Z","creator":"system","file_id":"4709","checksum":"6c5de8329bb2ffa71cba9fda750f14ce","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"publication_status":"published","pubrep_id":"423","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","_id":"2022","file_date_updated":"2020-07-14T12:45:25Z","department":[{"_id":"SiHi"},{"_id":"Bio"}],"ddc":["570"],"date_updated":"2021-01-12T06:54:47Z","oa":1,"publisher":"Cell Press","quality_controlled":"1","date_created":"2018-12-11T11:55:16Z","date_published":"2014-11-06T00:00:00Z","doi":"10.1016/j.cell.2014.10.027","page":"775 - 788","publication":"Cell","day":"06","year":"2014","has_accepted_license":"1","project":[{"_id":"25D61E48-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"618444","name":"Molecular Mechanisms of Cerebral Cortex Development"},{"name":"Quantitative Structure-Function Analysis of Cerebral Cortex Assembly at Clonal Level","grant_number":"RGP0053/2014","_id":"25D7962E-B435-11E9-9278-68D0E5697425"}],"title":"Deterministic progenitor behavior and unitary production of neurons in the neocortex","publist_id":"5050","author":[{"last_name":"Gao","full_name":"Gao, Peng","first_name":"Peng"},{"last_name":"Postiglione","full_name":"Postiglione, Maria P","first_name":"Maria P","id":"2C67902A-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Krieger","full_name":"Krieger, Teresa","first_name":"Teresa"},{"full_name":"Hernandez, Luisirene","last_name":"Hernandez","first_name":"Luisirene"},{"last_name":"Wang","full_name":"Wang, Chao","first_name":"Chao"},{"last_name":"Han","full_name":"Han, Zhi","first_name":"Zhi"},{"full_name":"Streicher, Carmen","last_name":"Streicher","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen"},{"full_name":"Papusheva, Ekaterina","last_name":"Papusheva","id":"41DB591E-F248-11E8-B48F-1D18A9856A87","first_name":"Ekaterina"},{"first_name":"Ryan","full_name":"Insolera, Ryan","last_name":"Insolera"},{"first_name":"Kritika","last_name":"Chugh","full_name":"Chugh, Kritika"},{"first_name":"Oren","full_name":"Kodish, Oren","last_name":"Kodish"},{"first_name":"Kun","last_name":"Huang","full_name":"Huang, Kun"},{"first_name":"Benjamin","full_name":"Simons, Benjamin","last_name":"Simons"},{"last_name":"Luo","full_name":"Luo, Liqun","first_name":"Liqun"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Shi","full_name":"Shi, Song","first_name":"Song"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"short":"P. Gao, M.P. Postiglione, T. Krieger, L. Hernandez, C. Wang, Z. Han, C. Streicher, E. Papusheva, R. Insolera, K. Chugh, O. Kodish, K. Huang, B. Simons, L. Luo, S. Hippenmeyer, S. Shi, Cell 159 (2014) 775–788.","ieee":"P. Gao et al., “Deterministic progenitor behavior and unitary production of neurons in the neocortex,” Cell, vol. 159, no. 4. Cell Press, pp. 775–788, 2014.","apa":"Gao, P., Postiglione, M. P., Krieger, T., Hernandez, L., Wang, C., Han, Z., … Shi, S. (2014). Deterministic progenitor behavior and unitary production of neurons in the neocortex. Cell. Cell Press. https://doi.org/10.1016/j.cell.2014.10.027","ama":"Gao P, Postiglione MP, Krieger T, et al. Deterministic progenitor behavior and unitary production of neurons in the neocortex. Cell. 2014;159(4):775-788. doi:10.1016/j.cell.2014.10.027","mla":"Gao, Peng, et al. “Deterministic Progenitor Behavior and Unitary Production of Neurons in the Neocortex.” Cell, vol. 159, no. 4, Cell Press, 2014, pp. 775–88, doi:10.1016/j.cell.2014.10.027.","ista":"Gao P, Postiglione MP, Krieger T, Hernandez L, Wang C, Han Z, Streicher C, Papusheva E, Insolera R, Chugh K, Kodish O, Huang K, Simons B, Luo L, Hippenmeyer S, Shi S. 2014. Deterministic progenitor behavior and unitary production of neurons in the neocortex. Cell. 159(4), 775–788.","chicago":"Gao, Peng, Maria P Postiglione, Teresa Krieger, Luisirene Hernandez, Chao Wang, Zhi Han, Carmen Streicher, et al. “Deterministic Progenitor Behavior and Unitary Production of Neurons in the Neocortex.” Cell. Cell Press, 2014. https://doi.org/10.1016/j.cell.2014.10.027."}},{"intvolume":" 111","month":"06","quality_controlled":"1","scopus_import":1,"publisher":"National Academy of Sciences","oa_version":"None","abstract":[{"text":"The mammalian heart has long been considered a postmitotic organ, implying that the total number of cardiomyocytes is set at birth. Analysis of cell division in the mammalian heart is complicated by cardiomyocyte binucleation shortly after birth, which makes it challenging to interpret traditional assays of cell turnover [Laflamme MA, Murray CE (2011) Nature 473(7347):326–335; Bergmann O, et al. (2009) Science 324(5923):98–102]. An elegant multi-isotope imaging-mass spectrometry technique recently calculated the low, discrete rate of cardiomyocyte generation in mice [Senyo SE, et al. (2013) Nature 493(7432):433–436], yet our cellular-level understanding of postnatal cardiomyogenesis remains limited. Herein, we provide a new line of evidence for the differentiated α-myosin heavy chain-expressing cardiomyocyte as the cell of origin of postnatal cardiomyogenesis using the “mosaic analysis with double markers” mouse model. We show limited, life-long, symmetric division of cardiomyocytes as a rare event that is evident in utero but significantly diminishes after the first month of life in mice; daughter cardiomyocytes divide very seldom, which this study is the first to demonstrate, to our knowledge. Furthermore, ligation of the left anterior descending coronary artery, which causes a myocardial infarction in the mosaic analysis with double-marker mice, did not increase the rate of cardiomyocyte division above the basal level for up to 4 wk after the injury. The clonal analysis described here provides direct evidence of postnatal mammalian cardiomyogenesis.","lang":"eng"}],"date_created":"2018-12-11T11:55:15Z","date_published":"2014-06-17T00:00:00Z","doi":"10.1073/pnas.1408233111","volume":111,"issue":"24","page":"8850 - 8855","publication":"PNAS","language":[{"iso":"eng"}],"day":"17","publication_status":"published","year":"2014","status":"public","type":"journal_article","_id":"2020","department":[{"_id":"SiHi"}],"title":"Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice","author":[{"first_name":"Shah","last_name":"Ali","full_name":"Ali, Shah"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061"},{"first_name":"Lily","full_name":"Saadat, Lily","last_name":"Saadat"},{"full_name":"Luo, Liqun","last_name":"Luo","first_name":"Liqun"},{"first_name":"Irving","full_name":"Weissman, Irving","last_name":"Weissman"},{"first_name":"Reza","last_name":"Ardehali","full_name":"Ardehali, Reza"}],"publist_id":"5052","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","date_updated":"2021-01-12T06:54:46Z","citation":{"ieee":"S. Ali, S. Hippenmeyer, L. Saadat, L. Luo, I. Weissman, and R. Ardehali, “Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice,” PNAS, vol. 111, no. 24. National Academy of Sciences, pp. 8850–8855, 2014.","short":"S. Ali, S. Hippenmeyer, L. Saadat, L. Luo, I. Weissman, R. Ardehali, PNAS 111 (2014) 8850–8855.","ama":"Ali S, Hippenmeyer S, Saadat L, Luo L, Weissman I, Ardehali R. Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice. PNAS. 2014;111(24):8850-8855. doi:10.1073/pnas.1408233111","apa":"Ali, S., Hippenmeyer, S., Saadat, L., Luo, L., Weissman, I., & Ardehali, R. (2014). Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1408233111","mla":"Ali, Shah, et al. “Existing Cardiomyocytes Generate Cardiomyocytes at a Low Rate after Birth in Mice.” PNAS, vol. 111, no. 24, National Academy of Sciences, 2014, pp. 8850–55, doi:10.1073/pnas.1408233111.","ista":"Ali S, Hippenmeyer S, Saadat L, Luo L, Weissman I, Ardehali R. 2014. Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice. PNAS. 111(24), 8850–8855.","chicago":"Ali, Shah, Simon Hippenmeyer, Lily Saadat, Liqun Luo, Irving Weissman, and Reza Ardehali. “Existing Cardiomyocytes Generate Cardiomyocytes at a Low Rate after Birth in Mice.” PNAS. National Academy of Sciences, 2014. https://doi.org/10.1073/pnas.1408233111."}},{"abstract":[{"lang":"eng","text":"Neurotrophins regulate diverse aspects of neuronal development and plasticity, but their precise in vivo functions during neural circuit assembly in the central brain remain unclear. We show that the neurotrophin receptor tropomyosin-related kinase C (TrkC) is required for dendritic growth and branching of mouse cerebellar Purkinje cells. Sparse TrkC knockout reduced dendrite complexity, but global Purkinje cell knockout had no effect. Removal of the TrkC ligand neurotrophin-3 (NT-3) from cerebellar granule cells, which provide major afferent input to developing Purkinje cell dendrites, rescued the dendrite defects caused by sparse TrkC disruption in Purkinje cells. Our data demonstrate that NT-3 from presynaptic neurons (granule cells) is required for TrkC-dependent competitive dendrite morphogenesis in postsynaptic neurons (Purkinje cells)—a previously unknown mechanism of neural circuit development."}],"oa_version":"Submitted Version","quality_controlled":"1","publisher":"American Association for the Advancement of Science","scopus_import":1,"oa":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631524/"}],"month":"10","intvolume":" 346","publication_status":"published","year":"2014","day":"31","language":[{"iso":"eng"}],"publication":"Science","page":"626 - 629","doi":"10.1126/science.1258996","issue":"6209","date_published":"2014-10-31T00:00:00Z","volume":346,"date_created":"2018-12-11T11:55:15Z","_id":"2021","type":"journal_article","status":"public","date_updated":"2021-01-12T06:54:47Z","citation":{"chicago":"William, Joo, Simon Hippenmeyer, and Liqun Luo. “Dendrite Morphogenesis Depends on Relative Levels of NT-3/TrkC Signaling.” Science. American Association for the Advancement of Science, 2014. https://doi.org/10.1126/science.1258996.","ista":"William J, Hippenmeyer S, Luo L. 2014. Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling. Science. 346(6209), 626–629.","mla":"William, Joo, et al. “Dendrite Morphogenesis Depends on Relative Levels of NT-3/TrkC Signaling.” Science, vol. 346, no. 6209, American Association for the Advancement of Science, 2014, pp. 626–29, doi:10.1126/science.1258996.","ieee":"J. William, S. Hippenmeyer, and L. Luo, “Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling,” Science, vol. 346, no. 6209. American Association for the Advancement of Science, pp. 626–629, 2014.","short":"J. William, S. Hippenmeyer, L. Luo, Science 346 (2014) 626–629.","apa":"William, J., Hippenmeyer, S., & Luo, L. (2014). Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.1258996","ama":"William J, Hippenmeyer S, Luo L. Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling. Science. 2014;346(6209):626-629. doi:10.1126/science.1258996"},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publist_id":"5051","author":[{"last_name":"William","full_name":"William, Joo","first_name":"Joo"},{"full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"},{"last_name":"Luo","full_name":"Luo, Liqun","first_name":"Liqun"}],"department":[{"_id":"SiHi"}],"title":"Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling"},{"project":[{"name":"Quantitative Reactive Modeling","grant_number":"267989","call_identifier":"FP7","_id":"25EE3708-B435-11E9-9278-68D0E5697425"},{"_id":"26241A12-B435-11E9-9278-68D0E5697425","grant_number":"24696","name":"LIGHT-REGULATED LIGAND TRAPS FOR SPATIO-TEMPORAL INHIBITION OF CELL SIGNALING"},{"_id":"2581B60A-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications"},{"grant_number":"S11402-N23","name":"Moderne Concurrency Paradigms","call_identifier":"FWF","_id":"25F5A88A-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","_id":"25863FF4-B435-11E9-9278-68D0E5697425","name":"Game Theory","grant_number":"S11407"},{"grant_number":"P 23499-N23","name":"Modern Graph Algorithmic Techniques in Formal Verification","_id":"2584A770-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"name":"Microsoft Research Faculty Fellowship","_id":"2587B514-B435-11E9-9278-68D0E5697425"}],"editor":[{"first_name":"Franck","last_name":"Cassez","full_name":"Cassez, Franck"},{"full_name":"Raskin, Jean-François","last_name":"Raskin","first_name":"Jean-François"}],"title":"Verification of markov decision processes using learning algorithms","author":[{"first_name":"Tomáš","last_name":"Brázdil","full_name":"Brázdil, Tomáš"},{"last_name":"Chatterjee","full_name":"Chatterjee, Krishnendu","orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","first_name":"Krishnendu"},{"full_name":"Chmelik, Martin","last_name":"Chmelik","id":"3624234E-F248-11E8-B48F-1D18A9856A87","first_name":"Martin"},{"last_name":"Forejt","full_name":"Forejt, Vojtěch","first_name":"Vojtěch"},{"last_name":"Kretinsky","full_name":"Kretinsky, Jan","orcid":"0000-0002-8122-2881","id":"44CEF464-F248-11E8-B48F-1D18A9856A87","first_name":"Jan"},{"full_name":"Kwiatkowska, Marta","last_name":"Kwiatkowska","first_name":"Marta"},{"first_name":"David","last_name":"Parker","full_name":"Parker, David"},{"first_name":"Mateusz","full_name":"Ujma, Mateusz","last_name":"Ujma"}],"publist_id":"5046","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"ama":"Brázdil T, Chatterjee K, Chmelik M, et al. Verification of markov decision processes using learning algorithms. In: Cassez F, Raskin J-F, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8837. Society of Industrial and Applied Mathematics; 2014:98-114. doi:10.1007/978-3-319-11936-6_8","apa":"Brázdil, T., Chatterjee, K., Chmelik, M., Forejt, V., Kretinsky, J., Kwiatkowska, M., … Ujma, M. (2014). Verification of markov decision processes using learning algorithms. In F. Cassez & J.-F. Raskin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8837, pp. 98–114). Sydney, Australia: Society of Industrial and Applied Mathematics. https://doi.org/10.1007/978-3-319-11936-6_8","short":"T. Brázdil, K. Chatterjee, M. Chmelik, V. Forejt, J. Kretinsky, M. Kwiatkowska, D. Parker, M. Ujma, in:, F. Cassez, J.-F. Raskin (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Society of Industrial and Applied Mathematics, 2014, pp. 98–114.","ieee":"T. Brázdil et al., “Verification of markov decision processes using learning algorithms,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Sydney, Australia, 2014, vol. 8837, pp. 98–114.","mla":"Brázdil, Tomáš, et al. “Verification of Markov Decision Processes Using Learning Algorithms.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Franck Cassez and Jean-François Raskin, vol. 8837, Society of Industrial and Applied Mathematics, 2014, pp. 98–114, doi:10.1007/978-3-319-11936-6_8.","ista":"Brázdil T, Chatterjee K, Chmelik M, Forejt V, Kretinsky J, Kwiatkowska M, Parker D, Ujma M. 2014. Verification of markov decision processes using learning algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ALENEX: Algorithm Engineering and Experiments, LNCS, vol. 8837, 98–114.","chicago":"Brázdil, Tomáš, Krishnendu Chatterjee, Martin Chmelik, Vojtěch Forejt, Jan Kretinsky, Marta Kwiatkowska, David Parker, and Mateusz Ujma. “Verification of Markov Decision Processes Using Learning Algorithms.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Franck Cassez and Jean-François Raskin, 8837:98–114. Society of Industrial and Applied Mathematics, 2014. https://doi.org/10.1007/978-3-319-11936-6_8."},"oa":1,"publisher":"Society of Industrial and Applied Mathematics","quality_controlled":"1","acknowledgement":"This research was funded in part by the European Research Council (ERC) under grant agreement 246967 (VERIWARE), by the EU FP7 project HIERATIC, by the Czech Science Foundation grant No P202/12/P612, by EPSRC project EP/K038575/1.","date_created":"2018-12-11T11:55:17Z","date_published":"2014-11-01T00:00:00Z","doi":"10.1007/978-3-319-11936-6_8","page":"98 - 114","publication":" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","day":"01","year":"2014","status":"public","conference":{"name":"ALENEX: Algorithm Engineering and Experiments","end_date":"2014-11-07","location":"Sydney, Australia","start_date":"2014-11-03"},"type":"conference","_id":"2027","department":[{"_id":"KrCh"},{"_id":"ToHe"}],"date_updated":"2021-01-12T06:54:49Z","intvolume":" 8837","month":"11","main_file_link":[{"url":"http://arxiv.org/abs/1402.2967","open_access":"1"}],"alternative_title":["LNCS"],"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"We present a general framework for applying machine-learning algorithms to the verification of Markov decision processes (MDPs). The primary goal of these techniques is to improve performance by avoiding an exhaustive exploration of the state space. Our framework focuses on probabilistic reachability, which is a core property for verification, and is illustrated through two distinct instantiations. The first assumes that full knowledge of the MDP is available, and performs a heuristic-driven partial exploration of the model, yielding precise lower and upper bounds on the required probability. The second tackles the case where we may only sample the MDP, and yields probabilistic guarantees, again in terms of both the lower and upper bounds, which provides efficient stopping criteria for the approximation. The latter is the first extension of statistical model checking for unbounded properties inMDPs. In contrast with other related techniques, our approach is not restricted to time-bounded (finite-horizon) or discounted properties, nor does it assume any particular properties of the MDP. We also show how our methods extend to LTL objectives. We present experimental results showing the performance of our framework on several examples."}],"ec_funded":1,"volume":8837,"language":[{"iso":"eng"}],"publication_status":"published"},{"citation":{"chicago":"Arai, itaru, and Peter M Jonas. “Nanodomain Coupling Explains Ca^2+ Independence of Transmitter Release Time Course at a Fast Central Synapse.” ELife. eLife Sciences Publications, 2014. https://doi.org/10.7554/eLife.04057.","ista":"Arai itaru, Jonas PM. 2014. Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. eLife. 3.","mla":"Arai, itaru, and Peter M. Jonas. “Nanodomain Coupling Explains Ca^2+ Independence of Transmitter Release Time Course at a Fast Central Synapse.” ELife, vol. 3, eLife Sciences Publications, 2014, doi:10.7554/eLife.04057.","ama":"Arai itaru, Jonas PM. Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. eLife. 2014;3. doi:10.7554/eLife.04057","apa":"Arai, itaru, & Jonas, P. M. (2014). Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.04057","short":"itaru Arai, P.M. Jonas, ELife 3 (2014).","ieee":"itaru Arai and P. M. Jonas, “Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse,” eLife, vol. 3. eLife Sciences Publications, 2014."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publist_id":"5041","author":[{"full_name":"Arai, Itaru","last_name":"Arai","id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru"},{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"title":"Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse","project":[{"call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses"},{"name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548","call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425"}],"year":"2014","has_accepted_license":"1","publication":"eLife","day":"09","date_created":"2018-12-11T11:55:19Z","date_published":"2014-12-09T00:00:00Z","doi":"10.7554/eLife.04057","oa":1,"publisher":"eLife Sciences Publications","quality_controlled":"1","date_updated":"2021-01-12T06:54:51Z","ddc":["570"],"department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:45:26Z","_id":"2031","type":"journal_article","pubrep_id":"421","status":"public","publication_status":"published","language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"5094","checksum":"c240f915450d4ebe8f95043a2a8c7b1a","file_size":2239563,"date_updated":"2020-07-14T12:45:26Z","creator":"system","file_name":"IST-2016-421-v1+1_e04057.full.pdf","date_created":"2018-12-12T10:14:41Z"}],"ec_funded":1,"volume":3,"abstract":[{"lang":"eng","text":"A puzzling property of synaptic transmission, originally established at the neuromuscular junction, is that the time course of transmitter release is independent of the extracellular Ca2+ concentration ([Ca2+]o), whereas the rate of release is highly [Ca2+]o-dependent. Here, we examine the time course of release at inhibitory basket cell-Purkinje cell synapses and show that it is independent of [Ca2+]o. Modeling of Ca2+-dependent transmitter release suggests that the invariant time course of release critically depends on tight coupling between Ca2+ channels and release sensors. Experiments with exogenous Ca2+ chelators reveal that channel-sensor coupling at basket cell-Purkinje cell synapses is very tight, with a mean distance of 10–20 nm. Thus, tight channel-sensor coupling provides a mechanistic explanation for the apparent [Ca2+]o independence of the time course of release."}],"oa_version":"Submitted Version","scopus_import":1,"intvolume":" 3","month":"12"},{"date_created":"2018-12-11T11:55:16Z","doi":"10.1038/ncomms4498","date_published":"2014-03-25T00:00:00Z","publication":"Nature Communications","day":"25","year":"2014","has_accepted_license":"1","oa":1,"publisher":"Nature Publishing Group","quality_controlled":"1","title":"Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole","author":[{"full_name":"Toshima, Junko","last_name":"Toshima","first_name":"Junko"},{"first_name":"Show","full_name":"Nishinoaki, Show","last_name":"Nishinoaki"},{"last_name":"Sato","full_name":"Sato, Yoshifumi","first_name":"Yoshifumi"},{"last_name":"Yamamoto","full_name":"Yamamoto, Wataru","first_name":"Wataru"},{"first_name":"Daiki","full_name":"Furukawa, Daiki","last_name":"Furukawa"},{"id":"3D224B9E-F248-11E8-B48F-1D18A9856A87","first_name":"Daria E","orcid":"0000-0001-8323-8353","full_name":"Siekhaus, Daria E","last_name":"Siekhaus"},{"full_name":"Sawaguchi, Akira","last_name":"Sawaguchi","first_name":"Akira"},{"first_name":"Jiro","full_name":"Toshima, Jiro","last_name":"Toshima"}],"publist_id":"5048","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Toshima, Junko, et al. “Bifurcation of the Endocytic Pathway into Rab5-Dependent and -Independent Transport to the Vacuole.” Nature Communications, vol. 5, 3498, Nature Publishing Group, 2014, doi:10.1038/ncomms4498.","ama":"Toshima J, Nishinoaki S, Sato Y, et al. Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole. Nature Communications. 2014;5. doi:10.1038/ncomms4498","apa":"Toshima, J., Nishinoaki, S., Sato, Y., Yamamoto, W., Furukawa, D., Siekhaus, D. E., … Toshima, J. (2014). Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms4498","short":"J. Toshima, S. Nishinoaki, Y. Sato, W. Yamamoto, D. Furukawa, D.E. Siekhaus, A. Sawaguchi, J. Toshima, Nature Communications 5 (2014).","ieee":"J. Toshima et al., “Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole,” Nature Communications, vol. 5. Nature Publishing Group, 2014.","chicago":"Toshima, Junko, Show Nishinoaki, Yoshifumi Sato, Wataru Yamamoto, Daiki Furukawa, Daria E Siekhaus, Akira Sawaguchi, and Jiro Toshima. “Bifurcation of the Endocytic Pathway into Rab5-Dependent and -Independent Transport to the Vacuole.” Nature Communications. Nature Publishing Group, 2014. https://doi.org/10.1038/ncomms4498.","ista":"Toshima J, Nishinoaki S, Sato Y, Yamamoto W, Furukawa D, Siekhaus DE, Sawaguchi A, Toshima J. 2014. Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole. Nature Communications. 5, 3498."},"article_number":"3498","volume":5,"language":[{"iso":"eng"}],"file":[{"file_name":"IST-2016-616-v1+1_DaSi_Bifurcation_Postprint.pdf","date_created":"2018-12-12T10:11:11Z","creator":"system","file_size":4803515,"date_updated":"2020-07-14T12:45:25Z","checksum":"614fb6579c86d1f95bdd95eeb9ab01b0","file_id":"4864","relation":"main_file","access_level":"open_access","content_type":"application/pdf"}],"publication_status":"published","intvolume":" 5","month":"03","scopus_import":1,"oa_version":"Submitted Version","abstract":[{"text":"The yeast Rab5 homologue, Vps21p, is known to be involved both in the vacuolar protein sorting (VPS) pathway from the trans-Golgi network to the vacuole, and in the endocytic pathway from the plasma membrane to the vacuole. However, the intracellular location at which these two pathways converge remains unclear. In addition, the endocytic pathway is not completely blocked in yeast cells lacking all Rab5 genes, suggesting the existence of an unidentified route that bypasses the Rab5-dependent endocytic pathway. Here we show that convergence of the endocytic and VPS pathways occurs upstream of the requirement for Vps21p in these pathways. We also identify a previously unidentified endocytic pathway mediated by the AP-3 complex. Importantly, the AP-3-mediated pathway appears mostly intact in Rab5-disrupted cells, and thus works as an alternative route to the vacuole/lysosome. We propose that the endocytic traffic branches into two routes to reach the vacuole: a Rab5-dependent VPS pathway and a Rab5-independent AP-3-mediated pathway.","lang":"eng"}],"file_date_updated":"2020-07-14T12:45:25Z","department":[{"_id":"DaSi"}],"ddc":["570"],"date_updated":"2021-01-12T06:54:48Z","pubrep_id":"616","status":"public","type":"journal_article","_id":"2024"},{"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Bodova, Katarina, et al. “Characterizing Spiking in Noisy Type II Neurons.” Journal of Theoretical Biology, vol. 365, Academic Press, 2014, pp. 40–54, doi:10.1016/j.jtbi.2014.09.041.","short":"K. Bodova, D. Paydarfar, D. Forger, Journal of Theoretical Biology 365 (2014) 40–54.","ieee":"K. Bodova, D. Paydarfar, and D. Forger, “Characterizing spiking in noisy type II neurons,” Journal of Theoretical Biology, vol. 365. Academic Press, pp. 40–54, 2014.","apa":"Bodova, K., Paydarfar, D., & Forger, D. (2014). Characterizing spiking in noisy type II neurons. Journal of Theoretical Biology. Academic Press. https://doi.org/10.1016/j.jtbi.2014.09.041","ama":"Bodova K, Paydarfar D, Forger D. Characterizing spiking in noisy type II neurons. Journal of Theoretical Biology. 2014;365:40-54. doi:10.1016/j.jtbi.2014.09.041","chicago":"Bodova, Katarina, David Paydarfar, and Daniel Forger. “Characterizing Spiking in Noisy Type II Neurons.” Journal of Theoretical Biology. Academic Press, 2014. https://doi.org/10.1016/j.jtbi.2014.09.041.","ista":"Bodova K, Paydarfar D, Forger D. 2014. Characterizing spiking in noisy type II neurons. Journal of Theoretical Biology. 365, 40–54."},"title":"Characterizing spiking in noisy type II neurons","publist_id":"5043","author":[{"last_name":"Bodova","orcid":"0000-0002-7214-0171","full_name":"Bodova, Katarina","id":"2BA24EA0-F248-11E8-B48F-1D18A9856A87","first_name":"Katarina"},{"last_name":"Paydarfar","full_name":"Paydarfar, David","first_name":"David"},{"first_name":"Daniel","full_name":"Forger, Daniel","last_name":"Forger"}],"article_processing_charge":"No","day":"12","publication":" Journal of Theoretical Biology","has_accepted_license":"1","year":"2014","doi":"10.1016/j.jtbi.2014.09.041","date_published":"2014-10-12T00:00:00Z","date_created":"2018-12-11T11:55:18Z","page":"40 - 54","acknowledgement":"This work is supported by AFOSR grant FA 9550-11-1-0165, program grant RPG 24/2012 from the Human Frontiers of Science (DBF) and travel support from the European Commission Marie Curie International Reintegration Grant PIRG04-GA-2008-239429 (KB). DP was supported by NIHR01 GM104987 and the Wyss Institute of Biologically Inspired Engineering. ","quality_controlled":"1","publisher":"Academic Press","oa":1,"ddc":["570"],"date_updated":"2022-08-25T14:00:47Z","department":[{"_id":"GaTk"}],"file_date_updated":"2020-07-14T12:45:25Z","_id":"2028","status":"public","pubrep_id":"444","type":"journal_article","tmp":{"short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png"},"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","checksum":"a9dbae18d3233b3dab6944fd3f2cd49e","file_id":"5316","date_updated":"2020-07-14T12:45:25Z","file_size":2679222,"creator":"system","date_created":"2018-12-12T10:17:58Z","file_name":"IST-2016-444-v1+1_1-s2.0-S0022519314005888-main.pdf"}],"language":[{"iso":"eng"}],"publication_status":"published","related_material":{"link":[{"url":"https://doi.org/10.1016/j.jtbi.2015.03.013","relation":"erratum"}]},"volume":365,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Understanding the dynamics of noisy neurons remains an important challenge in neuroscience. Here, we describe a simple probabilistic model that accurately describes the firing behavior in a large class (type II) of neurons. To demonstrate the usefulness of this model, we show how it accurately predicts the interspike interval (ISI) distributions, bursting patterns and mean firing rates found by: (1) simulations of the classic Hodgkin-Huxley model with channel noise, (2) experimental data from squid giant axon with a noisy input current and (3) experimental data on noisy firing from a neuron within the suprachiasmatic nucleus (SCN). This simple model has 6 parameters, however, in some cases, two of these parameters are coupled and only 5 parameters account for much of the known behavior. From these parameters, many properties of spiking can be found through simple calculation. Thus, we show how the complex effects of noise can be understood through a simple and general probabilistic model."}],"month":"10","intvolume":" 365","scopus_import":"1"},{"project":[{"name":"Quantitative Reactive Modeling","grant_number":"267989","_id":"25EE3708-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"_id":"25F5A88A-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"S11402-N23","name":"Moderne Concurrency Paradigms"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Komárková, Zuzana, and Jan Kretinsky. “Rabinizer 3: Safraless Translation of Ltl to Small Deterministic Automata.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Franck Cassez and Jean-François Raskin, vol. 8837, Springer, 2014, pp. 235–41, doi:10.1007/978-3-319-11936-6_17.","short":"Z. Komárková, J. Kretinsky, in:, F. Cassez, J.-F. Raskin (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 235–241.","ieee":"Z. Komárková and J. Kretinsky, “Rabinizer 3: Safraless translation of ltl to small deterministic automata,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Sydney, Australia, 2014, vol. 8837, pp. 235–241.","ama":"Komárková Z, Kretinsky J. Rabinizer 3: Safraless translation of ltl to small deterministic automata. In: Cassez F, Raskin J-F, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8837. Springer; 2014:235-241. doi:10.1007/978-3-319-11936-6_17","apa":"Komárková, Z., & Kretinsky, J. (2014). Rabinizer 3: Safraless translation of ltl to small deterministic automata. In F. Cassez & J.-F. Raskin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8837, pp. 235–241). Sydney, Australia: Springer. https://doi.org/10.1007/978-3-319-11936-6_17","chicago":"Komárková, Zuzana, and Jan Kretinsky. “Rabinizer 3: Safraless Translation of Ltl to Small Deterministic Automata.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Franck Cassez and Jean-François Raskin, 8837:235–41. Springer, 2014. https://doi.org/10.1007/978-3-319-11936-6_17.","ista":"Komárková Z, Kretinsky J. 2014. Rabinizer 3: Safraless translation of ltl to small deterministic automata. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 8837, 235–241."},"title":"Rabinizer 3: Safraless translation of ltl to small deterministic automata","editor":[{"first_name":"Franck","last_name":"Cassez","full_name":"Cassez, Franck"},{"last_name":"Raskin","full_name":"Raskin, Jean-François","first_name":"Jean-François"}],"author":[{"full_name":"Komárková, Zuzana","last_name":"Komárková","first_name":"Zuzana"},{"last_name":"Kretinsky","full_name":"Kretinsky, Jan","orcid":"0000-0002-8122-2881","first_name":"Jan","id":"44CEF464-F248-11E8-B48F-1D18A9856A87"}],"publist_id":"5045","acknowledgement":"Sponsor: P202/12/G061; GACR; Czech Science Foundation\r\n\r\n","publisher":"Springer","quality_controlled":"1","publication":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","day":"01","year":"2014","date_created":"2018-12-11T11:55:17Z","date_published":"2014-01-01T00:00:00Z","doi":"10.1007/978-3-319-11936-6_17","page":"235 - 241","_id":"2026","status":"public","conference":{"start_date":"2014-11-03","end_date":"2014-11-07","location":"Sydney, Australia","name":"ATVA: Automated Technology for Verification and Analysis"},"type":"conference","date_updated":"2021-01-12T06:54:49Z","department":[{"_id":"ToHe"}],"oa_version":"None","abstract":[{"text":"We present a tool for translating LTL formulae into deterministic ω-automata. It is the first tool that covers the whole LTL that does not use Safra’s determinization or any of its variants. This leads to smaller automata. There are several outputs of the tool: firstly, deterministic Rabin automata, which are the standard input for probabilistic model checking, e.g. for the probabilistic model-checker PRISM; secondly, deterministic generalized Rabin automata, which can also be used for probabilistic model checking and are sometimes by orders of magnitude smaller. We also link our tool to PRISM and show that this leads to a significant speed-up of probabilistic LTL model checking, especially with the generalized Rabin automata.","lang":"eng"}],"intvolume":" 8837","month":"01","alternative_title":["LNCS"],"language":[{"iso":"eng"}],"publication_status":"published","ec_funded":1,"volume":8837},{"date_created":"2018-12-11T11:55:18Z","date_published":"2014-10-13T00:00:00Z","doi":"10.1209/0295-5075/108/20003","publication":"EPL","day":"13","year":"2014","oa":1,"publisher":"IOP Publishing Ltd.","quality_controlled":"1","acknowledgement":"239694; ERC; European Research Council","title":"Validity of spin-wave theory for the quantum Heisenberg model","publist_id":"5044","author":[{"first_name":"Michele","last_name":"Correggi","full_name":"Correggi, Michele"},{"first_name":"Alessandro","last_name":"Giuliani","full_name":"Giuliani, Alessandro"},{"last_name":"Seiringer","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert","first_name":"Robert","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Correggi, Michele, et al. “Validity of Spin-Wave Theory for the Quantum Heisenberg Model.” EPL, vol. 108, no. 2, 20003, IOP Publishing Ltd., 2014, doi:10.1209/0295-5075/108/20003.","short":"M. Correggi, A. Giuliani, R. Seiringer, EPL 108 (2014).","ieee":"M. Correggi, A. Giuliani, and R. Seiringer, “Validity of spin-wave theory for the quantum Heisenberg model,” EPL, vol. 108, no. 2. IOP Publishing Ltd., 2014.","apa":"Correggi, M., Giuliani, A., & Seiringer, R. (2014). Validity of spin-wave theory for the quantum Heisenberg model. EPL. IOP Publishing Ltd. https://doi.org/10.1209/0295-5075/108/20003","ama":"Correggi M, Giuliani A, Seiringer R. Validity of spin-wave theory for the quantum Heisenberg model. EPL. 2014;108(2). doi:10.1209/0295-5075/108/20003","chicago":"Correggi, Michele, Alessandro Giuliani, and Robert Seiringer. “Validity of Spin-Wave Theory for the Quantum Heisenberg Model.” EPL. IOP Publishing Ltd., 2014. https://doi.org/10.1209/0295-5075/108/20003.","ista":"Correggi M, Giuliani A, Seiringer R. 2014. Validity of spin-wave theory for the quantum Heisenberg model. EPL. 108(2), 20003."},"article_number":"20003","issue":"2","volume":108,"language":[{"iso":"eng"}],"publication_status":"published","intvolume":" 108","month":"10","main_file_link":[{"url":"http://arxiv.org/abs/1404.4717","open_access":"1"}],"scopus_import":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"Spin-wave theory is a key ingredient in our comprehension of quantum spin systems, and is used successfully for understanding a wide range of magnetic phenomena, including magnon condensation and stability of patterns in dipolar systems. Nevertheless, several decades of research failed to establish the validity of spin-wave theory rigorously, even for the simplest models of quantum spins. A rigorous justification of the method for the three-dimensional quantum Heisenberg ferromagnet at low temperatures is presented here. We derive sharp bounds on its free energy by combining a bosonic formulation of the model introduced by Holstein and Primakoff with probabilistic estimates and operator inequalities."}],"department":[{"_id":"RoSe"}],"date_updated":"2021-01-12T06:54:50Z","status":"public","type":"journal_article","_id":"2029"},{"month":"12","intvolume":" 1","publisher":"Neural Information Processing Systems","scopus_import":1,"quality_controlled":"1","main_file_link":[{"url":"https://papers.nips.cc/paper/5373-mind-the-nuisance-gaussian-process-classification-using-privileged-noise","open_access":"1"}],"oa":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"The learning with privileged information setting has recently attracted a lot of attention within the machine learning community, as it allows the integration of additional knowledge into the training process of a classifier, even when this comes in the form of a data modality that is not available at test time. Here, we show that privileged information can naturally be treated as noise in the latent function of a Gaussian process classifier (GPC). That is, in contrast to the standard GPC setting, the latent function is not just a nuisance but a feature: it becomes a natural measure of confidence about the training data by modulating the slope of the GPC probit likelihood function. Extensive experiments on public datasets show that the proposed GPC method using privileged noise, called GPC+, improves over a standard GPC without privileged knowledge, and also over the current state-of-the-art SVM-based method, SVM+. Moreover, we show that advanced neural networks and deep learning methods can be compressed as privileged information."}],"volume":1,"issue":"January","date_published":"2014-12-08T00:00:00Z","date_created":"2018-12-11T11:55:20Z","page":"837-845","day":"08","language":[{"iso":"eng"}],"publication":"Advances in Neural Information Processing Systems","publication_status":"published","year":"2014","status":"public","type":"conference","conference":{"end_date":"2014-12-13","location":"Montreal, Canada","start_date":"2014-12-08","name":"NIPS: Neural Information Processing Systems"},"_id":"2033","title":"Mind the nuisance: Gaussian process classification using privileged noise","department":[{"_id":"ChLa"}],"publist_id":"5038","author":[{"full_name":"Hernandez Lobato, Daniel","last_name":"Hernandez Lobato","first_name":"Daniel"},{"full_name":"Sharmanska, Viktoriia","orcid":"0000-0003-0192-9308","last_name":"Sharmanska","id":"2EA6D09E-F248-11E8-B48F-1D18A9856A87","first_name":"Viktoriia"},{"full_name":"Kersting, Kristian","last_name":"Kersting","first_name":"Kristian"},{"first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","last_name":"Lampert"},{"first_name":"Novi","full_name":"Quadrianto, Novi","last_name":"Quadrianto"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Hernandez Lobato, Daniel, Viktoriia Sharmanska, Kristian Kersting, Christoph Lampert, and Novi Quadrianto. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” In Advances in Neural Information Processing Systems, 1:837–45. Neural Information Processing Systems, 2014.","ista":"Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1, 837–845.","mla":"Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.","ieee":"D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, and N. Quadrianto, “Mind the nuisance: Gaussian process classification using privileged noise,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2014, vol. 1, no. January, pp. 837–845.","short":"D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, N. Quadrianto, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2014, pp. 837–845.","apa":"Hernandez Lobato, D., Sharmanska, V., Kersting, K., Lampert, C., & Quadrianto, N. (2014). Mind the nuisance: Gaussian process classification using privileged noise. In Advances in Neural Information Processing Systems (Vol. 1, pp. 837–845). Montreal, Canada: Neural Information Processing Systems.","ama":"Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845."},"date_updated":"2023-02-23T10:25:24Z"},{"doi":"10.4161/23723548.2014.964045","date_published":"2014-12-31T00:00:00Z","date_created":"2018-12-11T11:55:19Z","has_accepted_license":"1","year":"2014","day":"31","publication":"Molecular and Cellular Oncology","publisher":"Taylor & Francis","quality_controlled":"1","oa":1,"publist_id":"5040","author":[{"last_name":"Inglés Prieto","full_name":"Inglés Prieto, Álvaro","orcid":"0000-0002-5409-8571","id":"2A9DB292-F248-11E8-B48F-1D18A9856A87","first_name":"Álvaro"},{"full_name":"Gschaider-Reichhart, Eva","orcid":"0000-0002-7218-7738","last_name":"Gschaider-Reichhart","id":"3FEE232A-F248-11E8-B48F-1D18A9856A87","first_name":"Eva"},{"last_name":"Schelch","full_name":"Schelch, Karin","first_name":"Karin"},{"full_name":"Janovjak, Harald L","orcid":"0000-0002-8023-9315","last_name":"Janovjak","first_name":"Harald L","id":"33BA6C30-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Michael","last_name":"Grusch","full_name":"Grusch, Michael"}],"title":"The optogenetic promise for oncology: Episode I","citation":{"chicago":"Inglés Prieto, Álvaro, Eva Gschaider-Reichhart, Karin Schelch, Harald L Janovjak, and Michael Grusch. “The Optogenetic Promise for Oncology: Episode I.” Molecular and Cellular Oncology. Taylor & Francis, 2014. https://doi.org/10.4161/23723548.2014.964045.","ista":"Inglés Prieto Á, Gschaider-Reichhart E, Schelch K, Janovjak HL, Grusch M. 2014. The optogenetic promise for oncology: Episode I. Molecular and Cellular Oncology. 1(4), e964045.","mla":"Inglés Prieto, Álvaro, et al. “The Optogenetic Promise for Oncology: Episode I.” Molecular and Cellular Oncology, vol. 1, no. 4, e964045, Taylor & Francis, 2014, doi:10.4161/23723548.2014.964045.","apa":"Inglés Prieto, Á., Gschaider-Reichhart, E., Schelch, K., Janovjak, H. L., & Grusch, M. (2014). The optogenetic promise for oncology: Episode I. Molecular and Cellular Oncology. Taylor & Francis. https://doi.org/10.4161/23723548.2014.964045","ama":"Inglés Prieto Á, Gschaider-Reichhart E, Schelch K, Janovjak HL, Grusch M. The optogenetic promise for oncology: Episode I. Molecular and Cellular Oncology. 2014;1(4). doi:10.4161/23723548.2014.964045","ieee":"Á. Inglés Prieto, E. Gschaider-Reichhart, K. Schelch, H. L. Janovjak, and M. Grusch, “The optogenetic promise for oncology: Episode I,” Molecular and Cellular Oncology, vol. 1, no. 4. Taylor & Francis, 2014.","short":"Á. Inglés Prieto, E. Gschaider-Reichhart, K. Schelch, H.L. Janovjak, M. Grusch, Molecular and Cellular Oncology 1 (2014)."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","article_number":"e964045","volume":1,"issue":"4","license":"https://creativecommons.org/licenses/by-nc/4.0/","publication_status":"published","file":[{"file_name":"2014_Taylor_Alvaro.pdf","date_created":"2019-05-16T13:39:11Z","file_size":1765933,"date_updated":"2020-07-14T12:45:26Z","creator":"kschuh","checksum":"44e17ad40577ab46eb602e88a8b0b8fd","file_id":"6464","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"language":[{"iso":"eng"}],"scopus_import":1,"month":"12","intvolume":" 1","abstract":[{"text":"As light-based control of fundamental signaling pathways is becoming a reality, the field of optogenetics is rapidly moving beyond neuroscience. We have recently developed receptor tyrosine kinases that are activated by light and control cell proliferation, epithelial–mesenchymal transition, and angiogenic sprouting—cell behaviors central to cancer progression.","lang":"eng"}],"oa_version":"Published Version","file_date_updated":"2020-07-14T12:45:26Z","department":[{"_id":"HaJa"}],"date_updated":"2021-01-12T06:54:51Z","ddc":["570"],"type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","short":"CC BY-NC (4.0)"},"status":"public","_id":"2032"},{"publist_id":"5006","author":[{"full_name":"Dachman Soled, Dana","last_name":"Dachman Soled","first_name":"Dana"},{"id":"46B4C3EE-F248-11E8-B48F-1D18A9856A87","first_name":"Georg","last_name":"Fuchsbauer","full_name":"Fuchsbauer, Georg"},{"full_name":"Mohassel, Payman","last_name":"Mohassel","first_name":"Payman"},{"first_name":"Adam","full_name":"O’Neill, Adam","last_name":"O’Neill"}],"title":"Enhanced chosen-ciphertext security and applications","editor":[{"full_name":"Krawczyk, Hugo","last_name":"Krawczyk","first_name":"Hugo"}],"citation":{"chicago":"Dachman Soled, Dana, Georg Fuchsbauer, Payman Mohassel, and Adam O’Neill. “Enhanced Chosen-Ciphertext Security and Applications.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Hugo Krawczyk, 8383:329–44. Springer, 2014. https://doi.org/10.1007/978-3-642-54631-0_19.","ista":"Dachman Soled D, Fuchsbauer G, Mohassel P, O’Neill A. 2014. Enhanced chosen-ciphertext security and applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PKC: Public Key Crypography, LNCS, vol. 8383, 329–344.","mla":"Dachman Soled, Dana, et al. “Enhanced Chosen-Ciphertext Security and Applications.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Hugo Krawczyk, vol. 8383, Springer, 2014, pp. 329–44, doi:10.1007/978-3-642-54631-0_19.","ama":"Dachman Soled D, Fuchsbauer G, Mohassel P, O’Neill A. Enhanced chosen-ciphertext security and applications. In: Krawczyk H, ed. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8383. Springer; 2014:329-344. doi:10.1007/978-3-642-54631-0_19","apa":"Dachman Soled, D., Fuchsbauer, G., Mohassel, P., & O’Neill, A. (2014). Enhanced chosen-ciphertext security and applications. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 329–344). Buenos Aires, Argentina: Springer. https://doi.org/10.1007/978-3-642-54631-0_19","ieee":"D. Dachman Soled, G. Fuchsbauer, P. Mohassel, and A. O’Neill, “Enhanced chosen-ciphertext security and applications,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Buenos Aires, Argentina, 2014, vol. 8383, pp. 329–344.","short":"D. Dachman Soled, G. Fuchsbauer, P. Mohassel, A. O’Neill, in:, H. Krawczyk (Ed.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 329–344."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","project":[{"call_identifier":"FP7","_id":"258C570E-B435-11E9-9278-68D0E5697425","name":"Provable Security for Physical Cryptography","grant_number":"259668"}],"page":"329 - 344","date_published":"2014-01-01T00:00:00Z","doi":"10.1007/978-3-642-54631-0_19","date_created":"2018-12-11T11:55:24Z","year":"2014","day":"01","publication":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","publisher":"Springer","quality_controlled":"1","oa":1,"acknowledgement":"The second author was supported by EPSRC grant EP/H043454/1.","department":[{"_id":"KrPi"}],"date_updated":"2021-01-12T06:54:57Z","type":"conference","conference":{"name":"PKC: Public Key Crypography","start_date":"2014-03-26","location":"Buenos Aires, Argentina","end_date":"2014-03-28"},"status":"public","_id":"2045","volume":8383,"ec_funded":1,"publication_status":"published","language":[{"iso":"eng"}],"alternative_title":["LNCS"],"scopus_import":1,"main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2012/543"}],"month":"01","intvolume":" 8383","abstract":[{"lang":"eng","text":"We introduce and study a new notion of enhanced chosen-ciphertext security (ECCA) for public-key encryption. Loosely speaking, in the ECCA security experiment, the decryption oracle provided to the adversary is augmented to return not only the output of the decryption algorithm on a queried ciphertext but also of a randomness-recovery algorithm associated to the scheme. Our results mainly concern the case where the randomness-recovery algorithm is efficient. We provide constructions of ECCA-secure encryption from adaptive trapdoor functions as defined by Kiltz et al. (EUROCRYPT 2010), resulting in ECCA encryption from standard number-theoretic assumptions. We then give two applications of ECCA-secure encryption: (1) We use it as a unifying concept in showing equivalence of adaptive trapdoor functions and tag-based adaptive trapdoor functions, resolving an open question of Kiltz et al. (2) We show that ECCA-secure encryption can be used to securely realize an approach to public-key encryption with non-interactive opening (PKENO) originally suggested by Damgård and Thorbek (EUROCRYPT 2007), resulting in new and practical PKENO schemes quite different from those in prior work. Our results demonstrate that ECCA security is of both practical and theoretical interest."}],"oa_version":"Submitted Version"},{"scopus_import":1,"intvolume":" 15","month":"08","abstract":[{"text":"Background: CRISPR is a microbial immune system likely to be involved in host-parasite coevolution. It functions using target sequences encoded by the bacterial genome, which interfere with invading nucleic acids using a homology-dependent system. The system also requires protospacer associated motifs (PAMs), short motifs close to the target sequence that are required for interference in CRISPR types I and II. Here, we investigate whether PAMs are depleted in phage genomes due to selection pressure to escape recognition.Results: To this end, we analyzed two data sets. Phages infecting all bacterial hosts were analyzed first, followed by a detailed analysis of phages infecting the genus Streptococcus, where PAMs are best understood. We use two different measures of motif underrepresentation that control for codon bias and the frequency of submotifs. We compare phages infecting species with a particular CRISPR type to those infecting species without that type. Since only known PAMs were investigated, the analysis is restricted to CRISPR types I-C and I-E and in Streptococcus to types I-C and II. We found evidence for PAM depletion in Streptococcus phages infecting hosts with CRISPR type I-C, in Vibrio phages infecting hosts with CRISPR type I-E and in Streptococcus thermopilus phages infecting hosts with type II-A, known as CRISPR3.Conclusions: The observed motif depletion in phages with hosts having CRISPR can be attributed to selection rather than to mutational bias, as mutational bias should affect the phages of all hosts. This observation implies that the CRISPR system has been efficient in the groups discussed here.","lang":"eng"}],"oa_version":"Published Version","license":"https://creativecommons.org/publicdomain/zero/1.0/","issue":"1","volume":15,"publication_status":"published","language":[{"iso":"eng"}],"file":[{"date_created":"2018-12-12T10:11:24Z","file_name":"IST-2015-396-v1+1_1471-2164-15-663.pdf","date_updated":"2020-07-14T12:45:26Z","file_size":1489769,"creator":"system","file_id":"4878","checksum":"3f6d2776b90a842a28359cc957d3d04b","content_type":"application/pdf","access_level":"open_access","relation":"main_file"}],"tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"type":"journal_article","pubrep_id":"396","status":"public","_id":"2042","department":[{"_id":"JoBo"}],"file_date_updated":"2020-07-14T12:45:26Z","date_updated":"2021-01-12T06:54:56Z","ddc":["570"],"oa":1,"quality_controlled":"1","publisher":"BioMed Central","date_created":"2018-12-11T11:55:23Z","date_published":"2014-08-08T00:00:00Z","doi":"10.1186/1471-2164-15-663","year":"2014","has_accepted_license":"1","publication":"BMC Genomics","day":"08","article_number":"663","publist_id":"5009","author":[{"first_name":"Anne","id":"2BB22BC2-F248-11E8-B48F-1D18A9856A87","last_name":"Kupczok","full_name":"Kupczok, Anne"},{"id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87","first_name":"Jonathan P","last_name":"Bollback","orcid":"0000-0002-4624-4612","full_name":"Bollback, Jonathan P"}],"title":"Motif depletion in bacteriophages infecting hosts with CRISPR systems","citation":{"chicago":"Kupczok, Anne, and Jonathan P Bollback. “Motif Depletion in Bacteriophages Infecting Hosts with CRISPR Systems.” BMC Genomics. BioMed Central, 2014. https://doi.org/10.1186/1471-2164-15-663.","ista":"Kupczok A, Bollback JP. 2014. Motif depletion in bacteriophages infecting hosts with CRISPR systems. BMC Genomics. 15(1), 663.","mla":"Kupczok, Anne, and Jonathan P. Bollback. “Motif Depletion in Bacteriophages Infecting Hosts with CRISPR Systems.” BMC Genomics, vol. 15, no. 1, 663, BioMed Central, 2014, doi:10.1186/1471-2164-15-663.","apa":"Kupczok, A., & Bollback, J. P. (2014). Motif depletion in bacteriophages infecting hosts with CRISPR systems. BMC Genomics. BioMed Central. https://doi.org/10.1186/1471-2164-15-663","ama":"Kupczok A, Bollback JP. Motif depletion in bacteriophages infecting hosts with CRISPR systems. BMC Genomics. 2014;15(1). doi:10.1186/1471-2164-15-663","short":"A. Kupczok, J.P. Bollback, BMC Genomics 15 (2014).","ieee":"A. Kupczok and J. P. Bollback, “Motif depletion in bacteriophages infecting hosts with CRISPR systems,” BMC Genomics, vol. 15, no. 1. BioMed Central, 2014."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87"},{"year":"2014","publication":"Proceedings of the Workshop on Algorithm Engineering and Experiments","day":"01","page":"31 - 38","date_created":"2018-12-11T11:55:23Z","doi":"10.1137/1.9781611973198.4","date_published":"2014-01-01T00:00:00Z","oa":1,"quality_controlled":"1","publisher":"Society of Industrial and Applied Mathematics","citation":{"mla":"Bauer, Ulrich, et al. “Distributed Computation of Persistent Homology.” Proceedings of the Workshop on Algorithm Engineering and Experiments, edited by Catherine McGeoch and Ulrich Meyer, Society of Industrial and Applied Mathematics, 2014, pp. 31–38, doi:10.1137/1.9781611973198.4.","ieee":"U. Bauer, M. Kerber, and J. Reininghaus, “Distributed computation of persistent homology,” in Proceedings of the Workshop on Algorithm Engineering and Experiments, Portland, USA, 2014, pp. 31–38.","short":"U. Bauer, M. Kerber, J. Reininghaus, in:, C. McGeoch, U. Meyer (Eds.), Proceedings of the Workshop on Algorithm Engineering and Experiments, Society of Industrial and Applied Mathematics, 2014, pp. 31–38.","ama":"Bauer U, Kerber M, Reininghaus J. Distributed computation of persistent homology. In: McGeoch C, Meyer U, eds. Proceedings of the Workshop on Algorithm Engineering and Experiments. Society of Industrial and Applied Mathematics; 2014:31-38. doi:10.1137/1.9781611973198.4","apa":"Bauer, U., Kerber, M., & Reininghaus, J. (2014). Distributed computation of persistent homology. In C. McGeoch & U. Meyer (Eds.), Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 31–38). Portland, USA: Society of Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611973198.4","chicago":"Bauer, Ulrich, Michael Kerber, and Jan Reininghaus. “Distributed Computation of Persistent Homology.” In Proceedings of the Workshop on Algorithm Engineering and Experiments, edited by Catherine McGeoch and Ulrich Meyer, 31–38. Society of Industrial and Applied Mathematics, 2014. https://doi.org/10.1137/1.9781611973198.4.","ista":"Bauer U, Kerber M, Reininghaus J. 2014. Distributed computation of persistent homology. Proceedings of the Workshop on Algorithm Engineering and Experiments. ALENEX: Algorithm Engineering and Experiments, 31–38."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","author":[{"id":"2ADD483A-F248-11E8-B48F-1D18A9856A87","first_name":"Ulrich","last_name":"Bauer","full_name":"Bauer, Ulrich","orcid":"0000-0002-9683-0724"},{"last_name":"Kerber","full_name":"Kerber, Michael","orcid":"0000-0002-8030-9299","first_name":"Michael"},{"id":"4505473A-F248-11E8-B48F-1D18A9856A87","first_name":"Jan","full_name":"Reininghaus, Jan","last_name":"Reininghaus"}],"publist_id":"5008","editor":[{"first_name":"Catherine","full_name":" McGeoch, Catherine","last_name":" McGeoch"},{"full_name":"Meyer, Ulrich","last_name":"Meyer","first_name":"Ulrich"}],"title":"Distributed computation of persistent homology","project":[{"call_identifier":"FP7","_id":"255D761E-B435-11E9-9278-68D0E5697425","grant_number":"318493","name":"Topological Complex Systems"}],"publication_status":"published","language":[{"iso":"eng"}],"ec_funded":1,"abstract":[{"lang":"eng","text":"Persistent homology is a popular and powerful tool for capturing topological features of data. Advances in algorithms for computing persistent homology have reduced the computation time drastically – as long as the algorithm does not exhaust the available memory. Following up on a recently presented parallel method for persistence computation on shared memory systems [1], we demonstrate that a simple adaption of the standard reduction algorithm leads to a variant for distributed systems. Our algorithmic design ensures that the data is distributed over the nodes without redundancy; this permits the computation of much larger instances than on a single machine. Moreover, we observe that the parallelism at least compensates for the overhead caused by communication between nodes, and often even speeds up the computation compared to sequential and even parallel shared memory algorithms. In our experiments, we were able to compute the persistent homology of filtrations with more than a billion (109) elements within seconds on a cluster with 32 nodes using less than 6GB of memory per node."}],"oa_version":"Submitted Version","main_file_link":[{"url":"http://arxiv.org/abs/1310.0710","open_access":"1"}],"scopus_import":1,"month":"01","date_updated":"2021-01-12T06:54:56Z","department":[{"_id":"HeEd"}],"_id":"2043","conference":{"name":"ALENEX: Algorithm Engineering and Experiments","location":"Portland, USA","end_date":"2014-01-05","start_date":"2014-01-05"},"type":"conference","status":"public"},{"file_date_updated":"2020-07-14T12:45:26Z","department":[{"_id":"PeJo"}],"date_updated":"2021-01-12T06:54:55Z","ddc":["570"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","pubrep_id":"424","status":"public","_id":"2041","volume":8,"publication_status":"published","language":[{"iso":"eng"}],"file":[{"checksum":"3ca57b164045523f876407e9f13a9fb8","file_id":"5294","access_level":"open_access","relation":"main_file","content_type":"application/pdf","date_created":"2018-12-12T10:17:38Z","file_name":"IST-2016-424-v1+1_fncir-08-00107.pdf","creator":"system","date_updated":"2020-07-14T12:45:26Z","file_size":201110}],"scopus_import":1,"intvolume":" 8","month":"09","abstract":[{"lang":"eng","text":"The hippocampus mediates several higher brain functions, such as learning, memory, and spatial coding. The input region of the hippocampus, the dentate gyrus, plays a critical role in these processes. Several lines of evidence suggest that the dentate gyrus acts as a preprocessor of incoming information, preparing it for subsequent processing in CA3. For example, the dentate gyrus converts input from the entorhinal cortex, where cells have multiple spatial fields, into the spatially more specific place cell activity characteristic of the CA3 region. Furthermore, the dentate gyrus is involved in pattern separation, transforming relatively similar input patterns into substantially different output patterns. Finally, the dentate gyrus produces a very sparse coding scheme in which only a very small fraction of neurons are active at any one time."}],"oa_version":"Published Version","publist_id":"5010","author":[{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"},{"first_name":"John","last_name":"Lisman","full_name":"Lisman, John"}],"title":"Structure, function and plasticity of hippocampal dentate gyrus microcircuits","citation":{"mla":"Jonas, Peter M., and John Lisman. “Structure, Function and Plasticity of Hippocampal Dentate Gyrus Microcircuits.” Frontiers in Neural Circuits, vol. 8, 2p, Frontiers Research Foundation, 2014, doi:10.3389/fncir.2014.00107.","ama":"Jonas PM, Lisman J. Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. 2014;8. doi:10.3389/fncir.2014.00107","apa":"Jonas, P. M., & Lisman, J. (2014). Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. Frontiers Research Foundation. https://doi.org/10.3389/fncir.2014.00107","short":"P.M. Jonas, J. Lisman, Frontiers in Neural Circuits 8 (2014).","ieee":"P. M. Jonas and J. Lisman, “Structure, function and plasticity of hippocampal dentate gyrus microcircuits,” Frontiers in Neural Circuits, vol. 8. Frontiers Research Foundation, 2014.","chicago":"Jonas, Peter M, and John Lisman. “Structure, Function and Plasticity of Hippocampal Dentate Gyrus Microcircuits.” Frontiers in Neural Circuits. Frontiers Research Foundation, 2014. https://doi.org/10.3389/fncir.2014.00107.","ista":"Jonas PM, Lisman J. 2014. Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. 8, 2p."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","article_number":"2p","date_created":"2018-12-11T11:55:22Z","doi":"10.3389/fncir.2014.00107","date_published":"2014-09-10T00:00:00Z","year":"2014","has_accepted_license":"1","publication":"Frontiers in Neural Circuits","day":"10","oa":1,"quality_controlled":"1","publisher":"Frontiers Research Foundation"},{"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"apa":"Bauer, U., Kerber, M., & Reininghaus, J. (2014). Clear and Compress: Computing Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, & R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III (pp. 103–117). Springer. https://doi.org/10.1007/978-3-319-04099-8_7","ama":"Bauer U, Kerber M, Reininghaus J. Clear and Compress: Computing Persistent Homology in Chunks. In: Bremer P-T, Hotz I, Pascucci V, Peikert R, eds. Topological Methods in Data Analysis and Visualization III. Mathematics and Visualization. Springer; 2014:103-117. doi:10.1007/978-3-319-04099-8_7","short":"U. Bauer, M. Kerber, J. Reininghaus, in:, P.-T. Bremer, I. Hotz, V. Pascucci, R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III, Springer, 2014, pp. 103–117.","ieee":"U. Bauer, M. Kerber, and J. Reininghaus, “Clear and Compress: Computing Persistent Homology in Chunks,” in Topological Methods in Data Analysis and Visualization III, P.-T. Bremer, I. Hotz, V. Pascucci, and R. Peikert, Eds. Springer, 2014, pp. 103–117.","mla":"Bauer, Ulrich, et al. “Clear and Compress: Computing Persistent Homology in Chunks.” Topological Methods in Data Analysis and Visualization III, edited by Peer-Timo Bremer et al., Springer, 2014, pp. 103–17, doi:10.1007/978-3-319-04099-8_7.","ista":"Bauer U, Kerber M, Reininghaus J. 2014.Clear and Compress: Computing Persistent Homology in Chunks. In: Topological Methods in Data Analysis and Visualization III. , 103–117.","chicago":"Bauer, Ulrich, Michael Kerber, and Jan Reininghaus. “Clear and Compress: Computing Persistent Homology in Chunks.” In Topological Methods in Data Analysis and Visualization III, edited by Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci, and Ronald Peikert, 103–17. Mathematics and Visualization. Springer, 2014. https://doi.org/10.1007/978-3-319-04099-8_7."},"title":"Clear and Compress: Computing Persistent Homology in Chunks","editor":[{"full_name":"Bremer, Peer-Timo","last_name":"Bremer","first_name":"Peer-Timo"},{"full_name":"Hotz, Ingrid","last_name":"Hotz","first_name":"Ingrid"},{"last_name":"Pascucci","full_name":"Pascucci, Valerio","first_name":"Valerio"},{"first_name":"Ronald","last_name":"Peikert","full_name":"Peikert, Ronald"}],"author":[{"first_name":"Ulrich","id":"2ADD483A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9683-0724","full_name":"Bauer, Ulrich","last_name":"Bauer"},{"last_name":"Kerber","full_name":"Kerber, Michael","orcid":"0000-0002-8030-9299","first_name":"Michael"},{"id":"4505473A-F248-11E8-B48F-1D18A9856A87","first_name":"Jan","full_name":"Reininghaus, Jan","last_name":"Reininghaus"}],"publist_id":"5007","project":[{"call_identifier":"FP7","_id":"255D761E-B435-11E9-9278-68D0E5697425","name":"Topological Complex Systems","grant_number":"318493"}],"day":"19","publication":"Topological Methods in Data Analysis and Visualization III","year":"2014","date_published":"2014-03-19T00:00:00Z","doi":"10.1007/978-3-319-04099-8_7","date_created":"2018-12-11T11:55:23Z","page":"103 - 117","publisher":"Springer","quality_controlled":"1","oa":1,"date_updated":"2021-01-12T06:54:56Z","department":[{"_id":"HeEd"}],"series_title":"Mathematics and Visualization","_id":"2044","status":"public","type":"book_chapter","language":[{"iso":"eng"}],"publication_status":"published","ec_funded":1,"oa_version":"Submitted Version","abstract":[{"text":"We present a parallel algorithm for computing the persistent homology of a filtered chain complex. Our approach differs from the commonly used reduction algorithm by first computing persistence pairs within local chunks, then simplifying the unpaired columns, and finally applying standard reduction on the simplified matrix. The approach generalizes a technique by Günther et al., which uses discrete Morse Theory to compute persistence; we derive the same worst-case complexity bound in a more general context. The algorithm employs several practical optimization techniques, which are of independent interest. Our sequential implementation of the algorithm is competitive with state-of-the-art methods, and we further improve the performance through parallel computation.","lang":"eng"}],"month":"03","scopus_import":1,"main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1303.0477"}]}]