--- _id: '2003' abstract: - lang: eng text: Learning can be facilitated by previous knowledge when it is organized into relational representations forming schemas. In this issue of Neuron, McKenzie et al. (2014) demonstrate that the hippocampus rapidly forms interrelated, hierarchical memory representations to support schema-based learning. author: - first_name: Joseph full_name: O'Neill, Joseph id: 426376DC-F248-11E8-B48F-1D18A9856A87 last_name: O'Neill - first_name: Jozsef L full_name: Csicsvari, Jozsef L id: 3FA14672-F248-11E8-B48F-1D18A9856A87 last_name: Csicsvari orcid: 0000-0002-5193-4036 citation: ama: O’Neill J, Csicsvari JL. Learning by example in the hippocampus. Neuron. 2014;83(1):8-10. doi:10.1016/j.neuron.2014.06.013 apa: O’Neill, J., & Csicsvari, J. L. (2014). Learning by example in the hippocampus. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2014.06.013 chicago: O’Neill, Joseph, and Jozsef L Csicsvari. “Learning by Example in the Hippocampus.” Neuron. Elsevier, 2014. https://doi.org/10.1016/j.neuron.2014.06.013. ieee: J. O’Neill and J. L. Csicsvari, “Learning by example in the hippocampus,” Neuron, vol. 83, no. 1. Elsevier, pp. 8–10, 2014. ista: O’Neill J, Csicsvari JL. 2014. Learning by example in the hippocampus. Neuron. 83(1), 8–10. mla: O’Neill, Joseph, and Jozsef L. Csicsvari. “Learning by Example in the Hippocampus.” Neuron, vol. 83, no. 1, Elsevier, 2014, pp. 8–10, doi:10.1016/j.neuron.2014.06.013. short: J. O’Neill, J.L. Csicsvari, Neuron 83 (2014) 8–10. date_created: 2018-12-11T11:55:09Z date_published: 2014-07-02T00:00:00Z date_updated: 2021-01-12T06:54:39Z day: '02' department: - _id: JoCs doi: 10.1016/j.neuron.2014.06.013 intvolume: ' 83' issue: '1' language: - iso: eng month: '07' oa_version: None page: 8 - 10 publication: Neuron publication_status: published publisher: Elsevier publist_id: '5073' quality_controlled: '1' scopus_import: 1 status: public title: Learning by example in the hippocampus type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 83 year: '2014' ... --- _id: '2011' abstract: - lang: eng text: The protection of privacy of individual-level information in genome-wide association study (GWAS) databases has been a major concern of researchers following the publication of “an attack” on GWAS data by Homer et al. (2008). Traditional statistical methods for confidentiality and privacy protection of statistical databases do not scale well to deal with GWAS data, especially in terms of guarantees regarding protection from linkage to external information. The more recent concept of differential privacy, introduced by the cryptographic community, is an approach that provides a rigorous definition of privacy with meaningful privacy guarantees in the presence of arbitrary external information, although the guarantees may come at a serious price in terms of data utility. Building on such notions, Uhler et al. (2013) proposed new methods to release aggregate GWAS data without compromising an individual’s privacy. We extend the methods developed in Uhler et al. (2013) for releasing differentially-private χ2χ2-statistics by allowing for arbitrary number of cases and controls, and for releasing differentially-private allelic test statistics. We also provide a new interpretation by assuming the controls’ data are known, which is a realistic assumption because some GWAS use publicly available data as controls. We assess the performance of the proposed methods through a risk-utility analysis on a real data set consisting of DNA samples collected by the Wellcome Trust Case Control Consortium and compare the methods with the differentially-private release mechanism proposed by Johnson and Shmatikov (2013). acknowledgement: This research was partially supported by NSF Awards EMSW21-RTG and BCS-0941518 to the Department of Statistics at Carnegie Mellon University, and by NSF Grant BCS-0941553 to the Department of Statistics at Pennsylvania State University. This work was also supported in part by the National Center for Research Resources, Grant UL1 RR033184, and is now at the National Center for Advancing Translational Sciences, Grant UL1 TR000127 to Pennsylvania State University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NSF and NIH. author: - first_name: Fei full_name: Yu, Fei last_name: Yu - first_name: Stephen full_name: Fienberg, Stephen last_name: Fienberg - first_name: Alexandra full_name: Slaković, Alexandra last_name: Slaković - first_name: Caroline full_name: Uhler, Caroline id: 49ADD78E-F248-11E8-B48F-1D18A9856A87 last_name: Uhler orcid: 0000-0002-7008-0216 citation: ama: Yu F, Fienberg S, Slaković A, Uhler C. Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. 2014;50:133-141. doi:10.1016/j.jbi.2014.01.008 apa: Yu, F., Fienberg, S., Slaković, A., & Uhler, C. (2014). Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. Elsevier. https://doi.org/10.1016/j.jbi.2014.01.008 chicago: Yu, Fei, Stephen Fienberg, Alexandra Slaković, and Caroline Uhler. “Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies.” Journal of Biomedical Informatics. Elsevier, 2014. https://doi.org/10.1016/j.jbi.2014.01.008. ieee: F. Yu, S. Fienberg, A. Slaković, and C. Uhler, “Scalable privacy-preserving data sharing methodology for genome-wide association studies,” Journal of Biomedical Informatics, vol. 50. Elsevier, pp. 133–141, 2014. ista: Yu F, Fienberg S, Slaković A, Uhler C. 2014. Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. 50, 133–141. mla: Yu, Fei, et al. “Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies.” Journal of Biomedical Informatics, vol. 50, Elsevier, 2014, pp. 133–41, doi:10.1016/j.jbi.2014.01.008. short: F. Yu, S. Fienberg, A. Slaković, C. Uhler, Journal of Biomedical Informatics 50 (2014) 133–141. date_created: 2018-12-11T11:55:12Z date_published: 2014-08-01T00:00:00Z date_updated: 2021-01-12T06:54:42Z day: '01' department: - _id: CaUh doi: 10.1016/j.jbi.2014.01.008 intvolume: ' 50' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1401.5193 month: '08' oa: 1 oa_version: Submitted Version page: 133 - 141 publication: Journal of Biomedical Informatics publication_status: published publisher: Elsevier publist_id: '5065' quality_controlled: '1' scopus_import: 1 status: public title: Scalable privacy-preserving data sharing methodology for genome-wide association studies type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 50 year: '2014' ... --- _id: '2005' abstract: - lang: eng text: By eliciting a natural exploratory behavior in rats, head scanning, a study reveals that hippocampal place cells form new, stable firing fields in those locations where the behavior has just occurred. author: - first_name: David full_name: Dupret, David last_name: Dupret - first_name: Jozsef L full_name: Csicsvari, Jozsef L id: 3FA14672-F248-11E8-B48F-1D18A9856A87 last_name: Csicsvari orcid: 0000-0002-5193-4036 citation: ama: Dupret D, Csicsvari JL. Turning heads to remember places. Nature Neuroscience. 2014;17(5):643-644. doi:10.1038/nn.3700 apa: Dupret, D., & Csicsvari, J. L. (2014). Turning heads to remember places. Nature Neuroscience. Nature Publishing Group. https://doi.org/10.1038/nn.3700 chicago: Dupret, David, and Jozsef L Csicsvari. “Turning Heads to Remember Places.” Nature Neuroscience. Nature Publishing Group, 2014. https://doi.org/10.1038/nn.3700. ieee: D. Dupret and J. L. Csicsvari, “Turning heads to remember places,” Nature Neuroscience, vol. 17, no. 5. Nature Publishing Group, pp. 643–644, 2014. ista: Dupret D, Csicsvari JL. 2014. Turning heads to remember places. Nature Neuroscience. 17(5), 643–644. mla: Dupret, David, and Jozsef L. Csicsvari. “Turning Heads to Remember Places.” Nature Neuroscience, vol. 17, no. 5, Nature Publishing Group, 2014, pp. 643–44, doi:10.1038/nn.3700. short: D. Dupret, J.L. Csicsvari, Nature Neuroscience 17 (2014) 643–644. date_created: 2018-12-11T11:55:09Z date_published: 2014-04-25T00:00:00Z date_updated: 2021-01-12T06:54:40Z day: '25' department: - _id: JoCs doi: 10.1038/nn.3700 intvolume: ' 17' issue: '5' language: - iso: eng month: '04' oa_version: None page: 643 - 644 publication: Nature Neuroscience publication_status: published publisher: Nature Publishing Group publist_id: '5071' quality_controlled: '1' scopus_import: 1 status: public title: Turning heads to remember places type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 17 year: '2014' ... --- _id: '2007' abstract: - lang: eng text: Maximum likelihood estimation under relational models, with or without the overall effect. For more information see the reference manual article_processing_charge: No author: - first_name: Anna full_name: Klimova, Anna id: 31934120-F248-11E8-B48F-1D18A9856A87 last_name: Klimova - first_name: Tamás full_name: Rudas, Tamás last_name: Rudas citation: ama: 'Klimova A, Rudas T. gIPFrm: Generalized iterative proportional fitting for relational models. 2014.' apa: 'Klimova, A., & Rudas, T. (2014). gIPFrm: Generalized iterative proportional fitting for relational models. The Comprehensive R Archive Network.' chicago: 'Klimova, Anna, and Tamás Rudas. “GIPFrm: Generalized Iterative Proportional Fitting for Relational Models.” The Comprehensive R Archive Network, 2014.' ieee: 'A. Klimova and T. Rudas, “gIPFrm: Generalized iterative proportional fitting for relational models.” The Comprehensive R Archive Network, 2014.' ista: 'Klimova A, Rudas T. 2014. gIPFrm: Generalized iterative proportional fitting for relational models, The Comprehensive R Archive Network.' mla: 'Klimova, Anna, and Tamás Rudas. GIPFrm: Generalized Iterative Proportional Fitting for Relational Models. The Comprehensive R Archive Network, 2014.' short: A. Klimova, T. Rudas, (2014). date_created: 2018-12-11T11:55:10Z date_published: 2014-03-20T00:00:00Z date_updated: 2022-08-26T08:12:12Z day: '20' department: - _id: CaUh main_file_link: - open_access: '1' url: 'https://CRAN.R-project.org/package=gIPFrm ' month: '03' oa: 1 oa_version: Published Version publisher: The Comprehensive R Archive Network publist_id: '5069' status: public title: 'gIPFrm: Generalized iterative proportional fitting for relational models' type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2018' abstract: - lang: eng 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. 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. article_processing_charge: No article_type: original author: - first_name: Hiroshi full_name: Matsukawa, Hiroshi last_name: Matsukawa - first_name: Sachiko full_name: Akiyoshi Nishimura, Sachiko last_name: Akiyoshi Nishimura - first_name: Qi full_name: Zhang, Qi last_name: Zhang - first_name: Rafael full_name: Luján, Rafael last_name: Luján - first_name: Kazuhiko full_name: Yamaguchi, Kazuhiko last_name: Yamaguchi - first_name: Hiromichi full_name: Goto, Hiromichi last_name: Goto - first_name: Kunio full_name: Yaguchi, Kunio last_name: Yaguchi - first_name: Tsutomu full_name: Hashikawa, Tsutomu last_name: Hashikawa - first_name: Chie full_name: Sano, Chie last_name: Sano - first_name: Ryuichi full_name: Shigemoto, Ryuichi id: 499F3ABC-F248-11E8-B48F-1D18A9856A87 last_name: Shigemoto orcid: 0000-0001-8761-9444 - first_name: Toshiaki full_name: Nakashiba, Toshiaki last_name: Nakashiba - first_name: Shigeyoshi full_name: Itohara, Shigeyoshi last_name: Itohara citation: 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 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. 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. 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. 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. date_created: 2018-12-11T11:55:14Z date_published: 2014-11-19T00:00:00Z date_updated: 2022-05-24T08:54:54Z day: '19' ddc: - '570' department: - _id: RySh doi: 10.1523/JNEUROSCI.1141-14.2014 external_id: pmid: - '25411505' file: - access_level: open_access checksum: 6913e9bc26e9fc1c0441a739a4199229 content_type: application/pdf creator: dernst date_created: 2022-05-24T08:41:41Z date_updated: 2022-05-24T08:41:41Z file_id: '11410' file_name: 2014_JournNeuroscience_Matsukawa.pdf file_size: 3963728 relation: main_file success: 1 file_date_updated: 2022-05-24T08:41:41Z has_accepted_license: '1' intvolume: ' 34' issue: '47' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 15779 - 15792 pmid: 1 publication: Journal of Neuroscience publication_identifier: eissn: - 1529-2401 issn: - 0270-6474 publication_status: published publisher: Society for Neuroscience publist_id: '5054' quality_controlled: '1' scopus_import: '1' status: public title: Netrin-G/NGL complexes encode functional synaptic diversification type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2014' ... --- _id: '2019' 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. author: - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Dominik J full_name: Schröder, Dominik J last_name: Schröder citation: 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 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 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. 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. 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. 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. short: L. Erdös, D.J. Schröder, Mathematical Physics, Analysis and Geometry 17 (2014) 441–464. date_created: 2018-12-11T11:55:15Z date_published: 2014-12-17T00:00:00Z date_updated: 2021-01-12T06:54:45Z day: '17' department: - _id: LaEr doi: 10.1007/s11040-014-9164-3 ec_funded: 1 intvolume: ' 17' issue: 3-4 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1407.1552 month: '12' oa: 1 oa_version: Submitted Version page: 441 - 464 project: - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems publication: Mathematical Physics, Analysis and Geometry publication_status: published publisher: Springer publist_id: '5053' quality_controlled: '1' scopus_import: 1 status: public title: Phase transition in the density of states of quantum spin glasses type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 17 year: '2014' ... --- _id: '2013' abstract: - lang: eng 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" 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). author: - first_name: Shaowei full_name: Lin, Shaowei last_name: Lin - first_name: Caroline full_name: Uhler, Caroline id: 49ADD78E-F248-11E8-B48F-1D18A9856A87 last_name: Uhler orcid: 0000-0002-7008-0216 - first_name: Bernd full_name: Sturmfels, Bernd last_name: Sturmfels - first_name: Peter full_name: Bühlmann, Peter last_name: Bühlmann citation: 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. 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. 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. 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. date_created: 2018-12-11T11:55:12Z date_published: 2014-10-10T00:00:00Z date_updated: 2021-01-12T06:54:43Z day: '10' department: - _id: CaUh doi: 10.1007/s10208-014-9205-0 intvolume: ' 14' issue: '5' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1209.0285 month: '10' oa: 1 oa_version: Submitted Version page: 1079 - 1116 publication: Foundations of Computational Mathematics publication_status: published publisher: Springer publist_id: '5063' quality_controlled: '1' scopus_import: 1 status: public title: Hypersurfaces and their singularities in partial correlation testing type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2014' ... --- _id: '2017' 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.' acknowledgement: |- A.L.'s research was supported by Statistics for Innovation sfi2 in Oslo. D.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. author: - first_name: Caroline full_name: Caroline Uhler id: 49ADD78E-F248-11E8-B48F-1D18A9856A87 last_name: Uhler orcid: 0000-0002-7008-0216 - first_name: Alex full_name: Lenkoski, Alex last_name: Lenkoski - first_name: Donald full_name: Richards, Donald last_name: Richards citation: ama: Uhler C, Lenkoski A, Richards D. Exact formulas for the normalizing constants of Wishart distributions for graphical models. ArXiv. 2014. apa: Uhler, C., Lenkoski, A., & Richards, D. (2014). Exact formulas for the normalizing constants of Wishart distributions for graphical models. ArXiv. ArXiv. chicago: Uhler, Caroline, Alex Lenkoski, and Donald Richards. “ Exact Formulas for the Normalizing Constants of Wishart Distributions for Graphical Models.” ArXiv. 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. 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. short: C. Uhler, A. Lenkoski, D. Richards, ArXiv (2014). date_created: 2018-12-11T11:55:14Z date_published: 2014-06-18T00:00:00Z date_updated: 2021-01-12T06:54:44Z day: '18' extern: 1 main_file_link: - open_access: '1' url: http://arxiv.org/abs/1406.4901 month: '06' oa: 1 publication: ArXiv publication_status: published publisher: ArXiv publist_id: '5058' quality_controlled: 0 status: public title: ' Exact formulas for the normalizing constants of Wishart distributions for graphical models' type: preprint year: '2014' ... --- _id: '2022' 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. author: - first_name: Peng full_name: Gao, Peng last_name: Gao - first_name: Maria P full_name: Postiglione, Maria P id: 2C67902A-F248-11E8-B48F-1D18A9856A87 last_name: Postiglione - first_name: Teresa full_name: Krieger, Teresa last_name: Krieger - first_name: Luisirene full_name: Hernandez, Luisirene last_name: Hernandez - first_name: Chao full_name: Wang, Chao last_name: Wang - first_name: Zhi full_name: Han, Zhi last_name: Han - first_name: Carmen full_name: Streicher, Carmen id: 36BCB99C-F248-11E8-B48F-1D18A9856A87 last_name: Streicher - first_name: Ekaterina full_name: Papusheva, Ekaterina id: 41DB591E-F248-11E8-B48F-1D18A9856A87 last_name: Papusheva - first_name: Ryan full_name: Insolera, Ryan last_name: Insolera - first_name: Kritika full_name: Chugh, Kritika last_name: Chugh - first_name: Oren full_name: Kodish, Oren last_name: Kodish - first_name: Kun full_name: Huang, Kun last_name: Huang - first_name: Benjamin full_name: Simons, Benjamin last_name: Simons - first_name: Liqun full_name: Luo, Liqun last_name: Luo - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Song full_name: Shi, Song last_name: Shi citation: 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 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 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. 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. 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. 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. 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. date_created: 2018-12-11T11:55:16Z date_published: 2014-11-06T00:00:00Z date_updated: 2021-01-12T06:54:47Z day: '06' ddc: - '570' department: - _id: SiHi - _id: Bio doi: 10.1016/j.cell.2014.10.027 ec_funded: 1 file: - access_level: open_access checksum: 6c5de8329bb2ffa71cba9fda750f14ce content_type: application/pdf creator: system date_created: 2018-12-12T10:08:47Z date_updated: 2020-07-14T12:45:25Z file_id: '4709' file_name: IST-2016-423-v1+1_1-s2.0-S0092867414013154-main.pdf file_size: 4435787 relation: main_file file_date_updated: 2020-07-14T12:45:25Z has_accepted_license: '1' intvolume: ' 159' issue: '4' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 775 - 788 project: - _id: 25D61E48-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618444' name: Molecular Mechanisms of Cerebral Cortex Development - _id: 25D7962E-B435-11E9-9278-68D0E5697425 grant_number: RGP0053/2014 name: Quantitative Structure-Function Analysis of Cerebral Cortex Assembly at Clonal Level publication: Cell publication_status: published publisher: Cell Press publist_id: '5050' pubrep_id: '423' quality_controlled: '1' scopus_import: 1 status: public title: Deterministic progenitor behavior and unitary production of neurons in the neocortex tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 159 year: '2014' ... --- _id: '2020' abstract: - lang: eng 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. author: - first_name: Shah full_name: Ali, Shah last_name: Ali - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Lily full_name: Saadat, Lily last_name: Saadat - first_name: Liqun full_name: Luo, Liqun last_name: Luo - first_name: Irving full_name: Weissman, Irving last_name: Weissman - first_name: Reza full_name: Ardehali, Reza last_name: Ardehali citation: 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 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. 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. 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. 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. short: S. Ali, S. Hippenmeyer, L. Saadat, L. Luo, I. Weissman, R. Ardehali, PNAS 111 (2014) 8850–8855. date_created: 2018-12-11T11:55:15Z date_published: 2014-06-17T00:00:00Z date_updated: 2021-01-12T06:54:46Z day: '17' department: - _id: SiHi doi: 10.1073/pnas.1408233111 intvolume: ' 111' issue: '24' language: - iso: eng month: '06' oa_version: None page: 8850 - 8855 publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '5052' quality_controlled: '1' scopus_import: 1 status: public title: Existing cardiomyocytes generate cardiomyocytes at a low rate after birth in mice type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 111 year: '2014' ... --- _id: '2021' 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. author: - first_name: Joo full_name: William, Joo last_name: William - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Liqun full_name: Luo, Liqun last_name: Luo citation: 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 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 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. 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. 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. short: J. William, S. Hippenmeyer, L. Luo, Science 346 (2014) 626–629. date_created: 2018-12-11T11:55:15Z date_published: 2014-10-31T00:00:00Z date_updated: 2021-01-12T06:54:47Z day: '31' department: - _id: SiHi doi: 10.1126/science.1258996 intvolume: ' 346' issue: '6209' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631524/ month: '10' oa: 1 oa_version: Submitted Version page: 626 - 629 publication: Science publication_status: published publisher: American Association for the Advancement of Science publist_id: '5051' quality_controlled: '1' scopus_import: 1 status: public title: Dendrite morphogenesis depends on relative levels of NT-3/TrkC signaling type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 346 year: '2014' ... --- _id: '2027' 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. 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. alternative_title: - LNCS author: - first_name: Tomáš full_name: Brázdil, Tomáš last_name: Brázdil - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin full_name: Chmelik, Martin id: 3624234E-F248-11E8-B48F-1D18A9856A87 last_name: Chmelik - first_name: Vojtěch full_name: Forejt, Vojtěch last_name: Forejt - first_name: Jan full_name: Kretinsky, Jan id: 44CEF464-F248-11E8-B48F-1D18A9856A87 last_name: Kretinsky orcid: 0000-0002-8122-2881 - first_name: Marta full_name: Kwiatkowska, Marta last_name: Kwiatkowska - first_name: David full_name: Parker, David last_name: Parker - first_name: Mateusz full_name: Ujma, Mateusz last_name: Ujma 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' 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. 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. 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.' 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. 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. conference: end_date: 2014-11-07 location: Sydney, Australia name: 'ALENEX: Algorithm Engineering and Experiments' start_date: 2014-11-03 date_created: 2018-12-11T11:55:17Z date_published: 2014-11-01T00:00:00Z date_updated: 2021-01-12T06:54:49Z day: '01' department: - _id: KrCh - _id: ToHe doi: 10.1007/978-3-319-11936-6_8 ec_funded: 1 editor: - first_name: Franck full_name: Cassez, Franck last_name: Cassez - first_name: Jean-François full_name: Raskin, Jean-François last_name: Raskin intvolume: ' 8837' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1402.2967 month: '11' oa: 1 oa_version: Submitted Version page: 98 - 114 project: - _id: 25EE3708-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '267989' name: Quantitative Reactive Modeling - _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' - _id: 25F5A88A-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Moderne Concurrency Paradigms - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 2587B514-B435-11E9-9278-68D0E5697425 name: Microsoft Research Faculty Fellowship publication: ' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)' publication_status: published publisher: Society of Industrial and Applied Mathematics publist_id: '5046' quality_controlled: '1' status: public title: Verification of markov decision processes using learning algorithms type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 8837 year: '2014' ... --- _id: '2031' 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. author: - first_name: Itaru full_name: Arai, Itaru id: 32A73F6C-F248-11E8-B48F-1D18A9856A87 last_name: Arai - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 citation: 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 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. 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. 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. short: itaru Arai, P.M. Jonas, ELife 3 (2014). date_created: 2018-12-11T11:55:19Z date_published: 2014-12-09T00:00:00Z date_updated: 2021-01-12T06:54:51Z day: '09' ddc: - '570' department: - _id: PeJo doi: 10.7554/eLife.04057 ec_funded: 1 file: - access_level: open_access checksum: c240f915450d4ebe8f95043a2a8c7b1a content_type: application/pdf creator: system date_created: 2018-12-12T10:14:41Z date_updated: 2020-07-14T12:45:26Z file_id: '5094' file_name: IST-2016-421-v1+1_e04057.full.pdf file_size: 2239563 relation: main_file file_date_updated: 2020-07-14T12:45:26Z has_accepted_license: '1' intvolume: ' 3' language: - iso: eng month: '12' oa: 1 oa_version: Submitted Version project: - _id: 25C26B1E-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P24909-B24 name: Mechanisms of transmitter release at GABAergic synapses - _id: 25C0F108-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '268548' name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons publication: eLife publication_status: published publisher: eLife Sciences Publications publist_id: '5041' pubrep_id: '421' quality_controlled: '1' scopus_import: 1 status: public title: Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 3 year: '2014' ... --- _id: '2024' abstract: - lang: eng 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.' article_number: '3498' author: - first_name: Junko full_name: Toshima, Junko last_name: Toshima - first_name: Show full_name: Nishinoaki, Show last_name: Nishinoaki - first_name: Yoshifumi full_name: Sato, Yoshifumi last_name: Sato - first_name: Wataru full_name: Yamamoto, Wataru last_name: Yamamoto - first_name: Daiki full_name: Furukawa, Daiki last_name: Furukawa - first_name: Daria E full_name: Siekhaus, Daria E id: 3D224B9E-F248-11E8-B48F-1D18A9856A87 last_name: Siekhaus orcid: 0000-0001-8323-8353 - first_name: Akira full_name: Sawaguchi, Akira last_name: Sawaguchi - first_name: Jiro full_name: Toshima, Jiro last_name: Toshima citation: 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 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. 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. 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. 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. short: J. Toshima, S. Nishinoaki, Y. Sato, W. Yamamoto, D. Furukawa, D.E. Siekhaus, A. Sawaguchi, J. Toshima, Nature Communications 5 (2014). date_created: 2018-12-11T11:55:16Z date_published: 2014-03-25T00:00:00Z date_updated: 2021-01-12T06:54:48Z day: '25' ddc: - '570' department: - _id: DaSi doi: 10.1038/ncomms4498 file: - access_level: open_access checksum: 614fb6579c86d1f95bdd95eeb9ab01b0 content_type: application/pdf creator: system date_created: 2018-12-12T10:11:11Z date_updated: 2020-07-14T12:45:25Z file_id: '4864' file_name: IST-2016-616-v1+1_DaSi_Bifurcation_Postprint.pdf file_size: 4803515 relation: main_file file_date_updated: 2020-07-14T12:45:25Z has_accepted_license: '1' intvolume: ' 5' language: - iso: eng month: '03' oa: 1 oa_version: Submitted Version publication: Nature Communications publication_status: published publisher: Nature Publishing Group publist_id: '5048' pubrep_id: '616' quality_controlled: '1' scopus_import: 1 status: public title: Bifurcation of the endocytic pathway into Rab5-dependent and -independent transport to the vacuole type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 5 year: '2014' ... --- _id: '2028' 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.' 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. ' article_processing_charge: No author: - first_name: Katarina full_name: Bodova, Katarina id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bodova orcid: 0000-0002-7214-0171 - first_name: David full_name: Paydarfar, David last_name: Paydarfar - first_name: Daniel full_name: Forger, Daniel last_name: Forger citation: 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 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 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. 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. ista: Bodova K, Paydarfar D, Forger D. 2014. Characterizing spiking in noisy type II neurons. Journal of Theoretical Biology. 365, 40–54. 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. date_created: 2018-12-11T11:55:18Z date_published: 2014-10-12T00:00:00Z date_updated: 2022-08-25T14:00:47Z day: '12' ddc: - '570' department: - _id: GaTk doi: 10.1016/j.jtbi.2014.09.041 file: - access_level: open_access checksum: a9dbae18d3233b3dab6944fd3f2cd49e content_type: application/pdf creator: system date_created: 2018-12-12T10:17:58Z date_updated: 2020-07-14T12:45:25Z file_id: '5316' file_name: IST-2016-444-v1+1_1-s2.0-S0022519314005888-main.pdf file_size: 2679222 relation: main_file file_date_updated: 2020-07-14T12:45:25Z has_accepted_license: '1' intvolume: ' 365' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 40 - 54 publication: ' Journal of Theoretical Biology' publication_status: published publisher: Academic Press publist_id: '5043' pubrep_id: '444' quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1016/j.jtbi.2015.03.013 scopus_import: '1' status: public title: Characterizing spiking in noisy type II neurons tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 365 year: '2014' ... --- _id: '2026' abstract: - lang: eng 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.' acknowledgement: "Sponsor: P202/12/G061; GACR; Czech Science Foundation\r\n\r\n" alternative_title: - LNCS author: - first_name: Zuzana full_name: Komárková, Zuzana last_name: Komárková - first_name: Jan full_name: Kretinsky, Jan id: 44CEF464-F248-11E8-B48F-1D18A9856A87 last_name: Kretinsky orcid: 0000-0002-8122-2881 citation: 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.' 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.' 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.' 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. conference: end_date: 2014-11-07 location: Sydney, Australia name: 'ATVA: Automated Technology for Verification and Analysis' start_date: 2014-11-03 date_created: 2018-12-11T11:55:17Z date_published: 2014-01-01T00:00:00Z date_updated: 2021-01-12T06:54:49Z day: '01' department: - _id: ToHe doi: 10.1007/978-3-319-11936-6_17 ec_funded: 1 editor: - first_name: Franck full_name: Cassez, Franck last_name: Cassez - first_name: Jean-François full_name: Raskin, Jean-François last_name: Raskin intvolume: ' 8837' language: - iso: eng month: '01' oa_version: None page: 235 - 241 project: - _id: 25EE3708-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '267989' name: Quantitative Reactive Modeling - _id: 25F5A88A-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Moderne Concurrency Paradigms publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) publication_status: published publisher: Springer publist_id: '5045' quality_controlled: '1' status: public title: 'Rabinizer 3: Safraless translation of ltl to small deterministic automata' type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 8837 year: '2014' ... --- _id: '2029' 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. acknowledgement: 239694; ERC; European Research Council article_number: '20003' author: - first_name: Michele full_name: Correggi, Michele last_name: Correggi - first_name: Alessandro full_name: Giuliani, Alessandro last_name: Giuliani - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 citation: 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 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 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. 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. ista: Correggi M, Giuliani A, Seiringer R. 2014. Validity of spin-wave theory for the quantum Heisenberg model. EPL. 108(2), 20003. 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). date_created: 2018-12-11T11:55:18Z date_published: 2014-10-13T00:00:00Z date_updated: 2021-01-12T06:54:50Z day: '13' department: - _id: RoSe doi: 10.1209/0295-5075/108/20003 intvolume: ' 108' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1404.4717 month: '10' oa: 1 oa_version: Submitted Version publication: EPL publication_status: published publisher: IOP Publishing Ltd. publist_id: '5044' quality_controlled: '1' scopus_import: 1 status: public title: Validity of spin-wave theory for the quantum Heisenberg model type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 108 year: '2014' ... --- _id: '2033' 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.' author: - first_name: Daniel full_name: Hernandez Lobato, Daniel last_name: Hernandez Lobato - first_name: Viktoriia full_name: Sharmanska, Viktoriia id: 2EA6D09E-F248-11E8-B48F-1D18A9856A87 last_name: Sharmanska orcid: 0000-0003-0192-9308 - first_name: Kristian full_name: Kersting, Kristian last_name: Kersting - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Novi full_name: Quadrianto, Novi last_name: Quadrianto citation: 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.' 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.' 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.' 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.' 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.' 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. conference: end_date: 2014-12-13 location: Montreal, Canada name: 'NIPS: Neural Information Processing Systems' start_date: 2014-12-08 date_created: 2018-12-11T11:55:20Z date_published: 2014-12-08T00:00:00Z date_updated: 2023-02-23T10:25:24Z day: '08' department: - _id: ChLa intvolume: ' 1' issue: January language: - iso: eng main_file_link: - open_access: '1' url: https://papers.nips.cc/paper/5373-mind-the-nuisance-gaussian-process-classification-using-privileged-noise month: '12' oa: 1 oa_version: Submitted Version page: 837-845 publication: Advances in Neural Information Processing Systems publication_status: published publisher: Neural Information Processing Systems publist_id: '5038' quality_controlled: '1' scopus_import: 1 status: public title: 'Mind the nuisance: Gaussian process classification using privileged noise' type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 1 year: '2014' ... --- _id: '2032' abstract: - lang: eng 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. article_number: e964045 author: - first_name: Álvaro full_name: Inglés Prieto, Álvaro id: 2A9DB292-F248-11E8-B48F-1D18A9856A87 last_name: Inglés Prieto orcid: 0000-0002-5409-8571 - first_name: Eva full_name: Gschaider-Reichhart, Eva id: 3FEE232A-F248-11E8-B48F-1D18A9856A87 last_name: Gschaider-Reichhart orcid: 0000-0002-7218-7738 - first_name: Karin full_name: Schelch, Karin last_name: Schelch - first_name: Harald L full_name: Janovjak, Harald L id: 33BA6C30-F248-11E8-B48F-1D18A9856A87 last_name: Janovjak orcid: 0000-0002-8023-9315 - first_name: Michael full_name: Grusch, Michael last_name: Grusch citation: 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' 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' 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.' 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.' 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.' short: Á. Inglés Prieto, E. Gschaider-Reichhart, K. Schelch, H.L. Janovjak, M. Grusch, Molecular and Cellular Oncology 1 (2014). date_created: 2018-12-11T11:55:19Z date_published: 2014-12-31T00:00:00Z date_updated: 2021-01-12T06:54:51Z day: '31' ddc: - '570' department: - _id: HaJa doi: 10.4161/23723548.2014.964045 file: - access_level: open_access checksum: 44e17ad40577ab46eb602e88a8b0b8fd content_type: application/pdf creator: kschuh date_created: 2019-05-16T13:39:11Z date_updated: 2020-07-14T12:45:26Z file_id: '6464' file_name: 2014_Taylor_Alvaro.pdf file_size: 1765933 relation: main_file file_date_updated: 2020-07-14T12:45:26Z has_accepted_license: '1' intvolume: ' 1' issue: '4' language: - iso: eng license: https://creativecommons.org/licenses/by-nc/4.0/ month: '12' oa: 1 oa_version: Published Version publication: Molecular and Cellular Oncology publication_status: published publisher: Taylor & Francis publist_id: '5040' quality_controlled: '1' scopus_import: 1 status: public title: 'The optogenetic promise for oncology: Episode I' tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 1 year: '2014' ... --- _id: '2045' 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.' acknowledgement: The second author was supported by EPSRC grant EP/H043454/1. alternative_title: - LNCS author: - first_name: Dana full_name: Dachman Soled, Dana last_name: Dachman Soled - first_name: Georg full_name: Fuchsbauer, Georg id: 46B4C3EE-F248-11E8-B48F-1D18A9856A87 last_name: Fuchsbauer - first_name: Payman full_name: Mohassel, Payman last_name: Mohassel - first_name: Adam full_name: O’Neill, Adam last_name: O’Neill citation: 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' 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. 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. 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. 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. conference: end_date: 2014-03-28 location: Buenos Aires, Argentina name: 'PKC: Public Key Crypography' start_date: 2014-03-26 date_created: 2018-12-11T11:55:24Z date_published: 2014-01-01T00:00:00Z date_updated: 2021-01-12T06:54:57Z day: '01' department: - _id: KrPi doi: 10.1007/978-3-642-54631-0_19 ec_funded: 1 editor: - first_name: Hugo full_name: Krawczyk, Hugo last_name: Krawczyk intvolume: ' 8383' language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2012/543 month: '01' oa: 1 oa_version: Submitted Version page: 329 - 344 project: - _id: 258C570E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '259668' name: Provable Security for Physical Cryptography publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) publication_status: published publisher: Springer publist_id: '5006' quality_controlled: '1' scopus_import: 1 status: public title: Enhanced chosen-ciphertext security and applications type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 8383 year: '2014' ...