[{"quality_controlled":0,"date_created":"2018-12-11T12:03:11Z","doi":"10.1088/0957-4484/19/38/384020","intvolume":"        19","_id":"3409","title":"Fully automated single-molecule force spectroscopy for screening applications","type":"journal_article","status":"public","extern":1,"citation":{"apa":"Struckmeier, J., Wahl, R., Leuschner, M., Nunes, J., Janovjak, H. L., Geisler, U., … Mueller, D. (2008). Fully automated single-molecule force spectroscopy for screening applications. <i>Nanotechnology</i>. IOP Publishing Ltd. <a href=\"https://doi.org/10.1088/0957-4484/19/38/384020\">https://doi.org/10.1088/0957-4484/19/38/384020</a>","mla":"Struckmeier, Jens, et al. “Fully Automated Single-Molecule Force Spectroscopy for Screening Applications.” <i>Nanotechnology</i>, vol. 19, no. 38, IOP Publishing Ltd., 2008, doi:<a href=\"https://doi.org/10.1088/0957-4484/19/38/384020\">10.1088/0957-4484/19/38/384020</a>.","short":"J. Struckmeier, R. Wahl, M. Leuschner, J. Nunes, H.L. Janovjak, U. Geisler, G. Hofmann, T. Jähnke, D. Mueller, Nanotechnology 19 (2008).","ama":"Struckmeier J, Wahl R, Leuschner M, et al. Fully automated single-molecule force spectroscopy for screening applications. <i>Nanotechnology</i>. 2008;19(38). doi:<a href=\"https://doi.org/10.1088/0957-4484/19/38/384020\">10.1088/0957-4484/19/38/384020</a>","chicago":"Struckmeier, Jens, Reiner Wahl, Mirko Leuschner, Joao Nunes, Harald L Janovjak, Ulrich Geisler, Gerd Hofmann, Torsten Jähnke, and Daniel Mueller. “Fully Automated Single-Molecule Force Spectroscopy for Screening Applications.” <i>Nanotechnology</i>. IOP Publishing Ltd., 2008. <a href=\"https://doi.org/10.1088/0957-4484/19/38/384020\">https://doi.org/10.1088/0957-4484/19/38/384020</a>.","ista":"Struckmeier J, Wahl R, Leuschner M, Nunes J, Janovjak HL, Geisler U, Hofmann G, Jähnke T, Mueller D. 2008. Fully automated single-molecule force spectroscopy for screening applications. Nanotechnology. 19(38).","ieee":"J. Struckmeier <i>et al.</i>, “Fully automated single-molecule force spectroscopy for screening applications,” <i>Nanotechnology</i>, vol. 19, no. 38. IOP Publishing Ltd., 2008."},"publisher":"IOP Publishing Ltd.","publication_status":"published","date_updated":"2021-01-12T07:43:17Z","month":"08","publication":"Nanotechnology","year":"2008","publist_id":"2993","day":"12","author":[{"full_name":"Struckmeier, Jens","first_name":"Jens","last_name":"Struckmeier"},{"last_name":"Wahl","first_name":"Reiner","full_name":"Wahl, Reiner"},{"first_name":"Mirko","last_name":"Leuschner","full_name":"Leuschner, Mirko"},{"full_name":"Nunes, Joao","last_name":"Nunes","first_name":"Joao"},{"orcid":"0000-0002-8023-9315","first_name":"Harald L","last_name":"Janovjak","id":"33BA6C30-F248-11E8-B48F-1D18A9856A87","full_name":"Harald Janovjak"},{"first_name":"Ulrich","last_name":"Geisler","full_name":"Geisler, Ulrich"},{"full_name":"Hofmann, Gerd","first_name":"Gerd","last_name":"Hofmann"},{"first_name":"Torsten","last_name":"Jähnke","full_name":"Jähnke, Torsten"},{"full_name":"Mueller, Daniel J","last_name":"Mueller","first_name":"Daniel"}],"date_published":"2008-08-12T00:00:00Z","volume":19,"abstract":[{"text":"With the introduction of single-molecule force spectroscopy (SMFS) it has become possible to directly access the interactions of various molecular systems. A bottleneck in conventional SMFS is collecting the large amount of data required for statistically meaningful analysis. Currently, atomic force microscopy (AFM)-based SMFS requires the user to tediously 'fish' for single molecules. In addition, most experimental and environmental conditions must be manually adjusted. Here, we developed a fully automated single-molecule force spectroscope. The instrument is able to perform SMFS while monitoring and regulating experimental conditions such as buffer composition and temperature. Cantilever alignment and calibration can also be automatically performed during experiments. This, combined with in-line data analysis, enables the instrument, once set up, to perform complete SMFS experiments autonomously.","lang":"eng"}],"issue":"38"},{"publication":"ChemPhysChem","month":"05","publist_id":"2992","day":"02","year":"2008","publication_status":"published","date_updated":"2019-04-26T07:22:27Z","issue":"7","author":[{"orcid":"0000-0002-8023-9315","first_name":"Harald L","last_name":"Janovjak","full_name":"Harald Janovjak","id":"33BA6C30-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Sapra","first_name":"Tanuj","full_name":"Sapra, Tanuj K"},{"last_name":"Kedrov","first_name":"Alexej","full_name":"Kedrov, Alexej"},{"full_name":"Mueller, Daniel J","last_name":"Mueller","first_name":"Daniel"}],"abstract":[{"lang":"eng","text":"Membrane proteins are involved in essential biological processes such as energy conversion, signal transduction, solute transport and secretion. All biological processes, also those involving membrane proteins, are steered by molecular interactions. Molecular interactions guide the folding and stability of membrane proteins, determine their assembly, switch their functional states or mediate signal transduction. The sequential steps of molecular interactions driving these processes can be described by dynamic energy landscapes. The conceptual energy landscape allows to follow the complex reaction pathways of membrane proteins while its modifications describe why and how pathways are changed. Single-molecule force spectroscopy (SMFS) detects, quantifies and locates interactions within and between membrane proteins. SMFS helps to determine how these interactions change with temperature, point mutations, oligomerization and the functional states of membrane proteins. Applied in different modes, SMFS explores the co-existence and population of reaction pathways in the energy landscape of the protein and thus reveals detailed insights into local mechanisms, determining its structural and functional relationships. Here we review how SMFS extracts the defining parameters of an energy landscape such as the barrier position, reaction kinetics and roughness with high precision."}],"volume":9,"date_published":"2008-05-02T00:00:00Z","date_created":"2018-12-11T12:03:11Z","doi":"10.1002/cphc.200700662","_id":"3410","page":"954 - 966","intvolume":"         9","quality_controlled":0,"publisher":"Wiley-Blackwell","citation":{"ieee":"H. L. Janovjak, T. Sapra, A. Kedrov, and D. Mueller, “From valleys to ridges: Exploring the energy landscape of single membrane proteins,” <i>ChemPhysChem</i>, vol. 9, no. 7. Wiley-Blackwell, pp. 954–966, 2008.","ista":"Janovjak HL, Sapra T, Kedrov A, Mueller D. 2008. From valleys to ridges: Exploring the energy landscape of single membrane proteins. ChemPhysChem. 9(7), 954–966.","chicago":"Janovjak, Harald L, Tanuj Sapra, Alexej Kedrov, and Daniel Mueller. “From Valleys to Ridges: Exploring the Energy Landscape of Single Membrane Proteins.” <i>ChemPhysChem</i>. Wiley-Blackwell, 2008. <a href=\"https://doi.org/10.1002/cphc.200700662\">https://doi.org/10.1002/cphc.200700662</a>.","ama":"Janovjak HL, Sapra T, Kedrov A, Mueller D. From valleys to ridges: Exploring the energy landscape of single membrane proteins. <i>ChemPhysChem</i>. 2008;9(7):954-966. doi:<a href=\"https://doi.org/10.1002/cphc.200700662\">10.1002/cphc.200700662</a>","short":"H.L. Janovjak, T. Sapra, A. Kedrov, D. Mueller, ChemPhysChem 9 (2008) 954–966.","apa":"Janovjak, H. L., Sapra, T., Kedrov, A., &#38; Mueller, D. (2008). From valleys to ridges: Exploring the energy landscape of single membrane proteins. <i>ChemPhysChem</i>. Wiley-Blackwell. <a href=\"https://doi.org/10.1002/cphc.200700662\">https://doi.org/10.1002/cphc.200700662</a>","mla":"Janovjak, Harald L., et al. “From Valleys to Ridges: Exploring the Energy Landscape of Single Membrane Proteins.” <i>ChemPhysChem</i>, vol. 9, no. 7, Wiley-Blackwell, 2008, pp. 954–66, doi:<a href=\"https://doi.org/10.1002/cphc.200700662\">10.1002/cphc.200700662</a>."},"extern":1,"title":"From valleys to ridges: Exploring the energy landscape of single membrane proteins","type":"review","status":"public"},{"quality_controlled":0,"intvolume":"       179","_id":"3435","page":"497 - 502","doi":"10.1534/genetics.107.085019","date_created":"2018-12-11T12:03:19Z","type":"journal_article","status":"public","title":"Estimation of 2Nes From Temporal Allele Frequency Data","main_file_link":[{"url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390626","open_access":"1"}],"citation":{"ieee":"J. P. Bollback, T. York, and R. Nielsen, “Estimation of 2Nes From Temporal Allele Frequency Data,” <i>Genetics</i>, vol. 179, no. 1. Genetics Society of America, pp. 497–502, 2008.","ista":"Bollback JP, York T, Nielsen R. 2008. Estimation of 2Nes From Temporal Allele Frequency Data. Genetics. 179(1), 497–502.","short":"J.P. Bollback, T. York, R. Nielsen, Genetics 179 (2008) 497–502.","ama":"Bollback JP, York T, Nielsen R. Estimation of 2Nes From Temporal Allele Frequency Data. <i>Genetics</i>. 2008;179(1):497-502. doi:<a href=\"https://doi.org/10.1534/genetics.107.085019\">10.1534/genetics.107.085019</a>","chicago":"Bollback, Jonathan P, Thomas York, and Rasmus Nielsen. “Estimation of 2Nes From Temporal Allele Frequency Data.” <i>Genetics</i>. Genetics Society of America, 2008. <a href=\"https://doi.org/10.1534/genetics.107.085019\">https://doi.org/10.1534/genetics.107.085019</a>.","apa":"Bollback, J. P., York, T., &#38; Nielsen, R. (2008). Estimation of 2Nes From Temporal Allele Frequency Data. <i>Genetics</i>. Genetics Society of America. <a href=\"https://doi.org/10.1534/genetics.107.085019\">https://doi.org/10.1534/genetics.107.085019</a>","mla":"Bollback, Jonathan P., et al. “Estimation of 2Nes From Temporal Allele Frequency Data.” <i>Genetics</i>, vol. 179, no. 1, Genetics Society of America, 2008, pp. 497–502, doi:<a href=\"https://doi.org/10.1534/genetics.107.085019\">10.1534/genetics.107.085019</a>."},"extern":1,"publisher":"Genetics Society of America","date_updated":"2021-01-12T07:43:27Z","oa":1,"publication_status":"published","year":"2008","publist_id":"2965","day":"01","publication":"Genetics","month":"05","date_published":"2008-05-01T00:00:00Z","volume":179,"abstract":[{"lang":"eng","text":"We develop a new method for estimating effective population sizes, Ne, and selection coefficients, s, from time-series data of allele frequencies sampled from a single diallelic locus. The method is based on calculating transition probabilities, using a numerical solution of the diffusion process, and assuming independent binomial sampling from this diffusion process at each time point. We apply the method in two example applications. First, we estimate selection coefficients acting on the CCR5-Δ32 mutation on the basis of published samples of contemporary and ancient human DNA. We show that the data are compatible with the assumption of s = 0, although moderate amounts of selection acting on this mutation cannot be excluded. In our second example, we estimate the selection coefficient acting on a mutation segregating in an experimental phage population. We show that the selection coefficient acting on this mutation is ~0.43."}],"author":[{"last_name":"Bollback","first_name":"Jonathan P","orcid":"0000-0002-4624-4612","id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87","full_name":"Jonathan Bollback"},{"first_name":"Thomas","last_name":"York","full_name":"York, Thomas L"},{"last_name":"Nielsen","first_name":"Rasmus","full_name":"Nielsen, Rasmus"}],"issue":"1"},{"_id":"3501","date_created":"2018-12-11T12:03:40Z","doi":"10.1145/1822258.1822293","acknowledgement":"This research has been partially supported by the CITRIS: Center for Information Technology Research in the Interest of Society.","quality_controlled":0,"publisher":"ACM","extern":1,"citation":{"ieee":"B. T. Adler, K. Chatterjee, L. De Alfaro, M. Faella, I. Pye, and V. Raman, “Assigning trust to Wikipedia content,” presented at the WikiSym: International Symposium on Wikis, 2008.","ista":"Adler BT, Chatterjee K, De Alfaro L, Faella M, Pye I, Raman V. 2008. Assigning trust to Wikipedia content. WikiSym: International Symposium on Wikis.","ama":"Adler BT, Chatterjee K, De Alfaro L, Faella M, Pye I, Raman V. Assigning trust to Wikipedia content. In: ACM; 2008. doi:<a href=\"https://doi.org/10.1145/1822258.1822293\">10.1145/1822258.1822293</a>","chicago":"Adler, B Thomas, Krishnendu Chatterjee, Luca De Alfaro, Marco Faella, Ian Pye, and Vishwanath Raman. “Assigning Trust to Wikipedia Content.” ACM, 2008. <a href=\"https://doi.org/10.1145/1822258.1822293\">https://doi.org/10.1145/1822258.1822293</a>.","short":"B.T. Adler, K. Chatterjee, L. De Alfaro, M. Faella, I. Pye, V. Raman, in:, ACM, 2008.","mla":"Adler, B. Thomas, et al. <i>Assigning Trust to Wikipedia Content</i>. ACM, 2008, doi:<a href=\"https://doi.org/10.1145/1822258.1822293\">10.1145/1822258.1822293</a>.","apa":"Adler, B. T., Chatterjee, K., De Alfaro, L., Faella, M., Pye, I., &#38; Raman, V. (2008). Assigning trust to Wikipedia content. Presented at the WikiSym: International Symposium on Wikis, ACM. <a href=\"https://doi.org/10.1145/1822258.1822293\">https://doi.org/10.1145/1822258.1822293</a>"},"type":"conference","status":"public","title":"Assigning trust to Wikipedia content","publist_id":"2886","day":"10","year":"2008","month":"09","date_updated":"2021-01-12T07:43:53Z","publication_status":"published","conference":{"name":"WikiSym: International Symposium on Wikis"},"abstract":[{"lang":"eng","text":"The Wikipedia is a collaborative encyclopedia: anyone can contribute to its articles simply by clicking on an &quot;edit&quot; button. The open nature of the Wikipedia has been key to its success, but has also created a challenge: how can readers develop an informed opinion on its reliability? We propose a system that computes quantitative values of trust for the text in Wikipedia articles; these trust values provide an indication of text reliability.\n\nThe system uses as input the revision history of each article, as well as information about the reputation of the contributing authors, as provided by a reputation system. The trust of a word in an article is computed on the basis of the reputation of the original author of the word, as well as the reputation of all authors who edited text near the word. The algorithm computes word trust values that vary smoothly across the text; the trust values can be visualized using varying text-background colors. The algorithm ensures that all changes to an article's text are reflected in the trust values, preventing surreptitious content changes.\n\nWe have implemented the proposed system, and we have used it to compute and display the trust of the text of thousands of articles of the English Wikipedia. To validate our trust-computation algorithms, we show that text labeled as low-trust has a significantly higher probability of being edited in the future than text labeled as high-trust."}],"date_published":"2008-09-10T00:00:00Z","author":[{"first_name":"B Thomas","last_name":"Adler","full_name":"Adler, B Thomas"},{"id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Krishnendu Chatterjee","orcid":"0000-0002-4561-241X","first_name":"Krishnendu","last_name":"Chatterjee"},{"full_name":"de Alfaro, Luca","last_name":"De Alfaro","first_name":"Luca"},{"last_name":"Faella","first_name":"Marco","full_name":"Faella, Marco"},{"first_name":"Ian","last_name":"Pye","full_name":"Pye, Ian"},{"full_name":"Raman, Vishwanath","first_name":"Vishwanath","last_name":"Raman"}]},{"abstract":[{"text":"In content-driven reputation systems for collaborative content, users gain or lose reputation according to how their contributions fare: authors of long-lived contributions gain reputation, while authors of reverted contributions lose reputation. Existing content-driven systems are prone to Sybil attacks, in which multiple identities, controlled by the same person, perform coordinated actions to increase their reputation. We show that content-driven reputation systems can be made resistant to such attacks by taking advantage of thefact that the reputation increments and decrements depend on content modifications, which are visible to all. We present an algorithm for content-driven reputation that prevents a set of identities from increasing their maximum reputation without doing any useful work. Here, work is considered useful if it causes content to evolve in a direction that is consistent with the actions of high-reputation users. We argue that the content modifications that require no effort, such as the insertion or deletion of arbitrary text, are invariably non-useful. We prove a truthfullness result for the resulting system, stating that users who wish to perform a contribution do not gain by employing complex contribution schemes, compared to simply performing the contribution at once. In particular, splitting the contribution in multiple portions, or employing the coordinated actions of multiple identities, do not yield additional reputation. Taken together, these results indicate that content-driven systems can be made robust with respect to Sybil attacks. Copyright 2008 ACM.","lang":"eng"}],"date_published":"2008-10-31T00:00:00Z","author":[{"last_name":"Chatterjee","first_name":"Krishnendu","orcid":"0000-0002-4561-241X","full_name":"Krishnendu Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"full_name":"de Alfaro, Luca","last_name":"De Alfaro","first_name":"Luca"},{"full_name":"Pye, Ian","last_name":"Pye","first_name":"Ian"}],"date_updated":"2021-01-12T07:43:54Z","publication_status":"published","conference":{"name":"AISec: Artificial Intelligence and Security"},"publist_id":"2885","day":"31","year":"2008","month":"10","status":"public","type":"conference","title":"Robust content-driven reputation","publisher":"ACM","citation":{"ama":"Chatterjee K, De Alfaro L, Pye I. Robust content-driven reputation. In: ACM; 2008:33-42. doi:<a href=\"https://doi.org/10.1145/1456377.1456387 \">10.1145/1456377.1456387 </a>","short":"K. Chatterjee, L. De Alfaro, I. Pye, in:, ACM, 2008, pp. 33–42.","chicago":"Chatterjee, Krishnendu, Luca De Alfaro, and Ian Pye. “Robust Content-Driven Reputation,” 33–42. ACM, 2008. <a href=\"https://doi.org/10.1145/1456377.1456387 \">https://doi.org/10.1145/1456377.1456387 </a>.","apa":"Chatterjee, K., De Alfaro, L., &#38; Pye, I. (2008). Robust content-driven reputation (pp. 33–42). Presented at the AISec: Artificial Intelligence and Security, ACM. <a href=\"https://doi.org/10.1145/1456377.1456387 \">https://doi.org/10.1145/1456377.1456387 </a>","mla":"Chatterjee, Krishnendu, et al. <i>Robust Content-Driven Reputation</i>. ACM, 2008, pp. 33–42, doi:<a href=\"https://doi.org/10.1145/1456377.1456387 \">10.1145/1456377.1456387 </a>.","ieee":"K. Chatterjee, L. De Alfaro, and I. Pye, “Robust content-driven reputation,” presented at the AISec: Artificial Intelligence and Security, 2008, pp. 33–42.","ista":"Chatterjee K, De Alfaro L, Pye I. 2008. Robust content-driven reputation. AISec: Artificial Intelligence and Security, 33–42."},"extern":1,"acknowledgement":"This research has been partially supported by the CITRIS: Center for Information Technology Research in the Interest of Society.","quality_controlled":0,"page":"33 - 42","_id":"3502","date_created":"2018-12-11T12:03:40Z","doi":"10.1145/1456377.1456387 "},{"year":"2008","language":[{"iso":"eng"}],"day":"05","author":[{"last_name":"Chatterjee","first_name":"Krishnendu","orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu"},{"first_name":"Luca","last_name":"De Alfaro","full_name":"De Alfaro, Luca"},{"full_name":"Majumdar, Ritankar","first_name":"Ritankar","last_name":"Majumdar"},{"full_name":"Raman, Vishwanath","first_name":"Vishwanath","last_name":"Raman"}],"date_published":"2008-12-05T00:00:00Z","abstract":[{"lang":"eng","text":"Simulation and bisimulation metrics for stochastic systems provide a quantitative gen- eralization of the classical simulation and bisimulation relations. These metrics capture the similarity of states with respect to quantitative specifications written in the quantitative μ-calculus and related probabilistic logics.\r\nWe present algorithms for computing the metrics on Markov decision processes (MDPs), turn- based stochastic games, and concurrent games. For turn-based games and MDPs, we provide a polynomial-time algorithm based on linear programming for the computation of the one-step metric distance between states. The algorithm improves on the previously known exponential-time algo- rithm based on a reduction to the theory of reals. We then present PSPACE algorithms for both the decision problem and the problem of approximating the metric distance between two states, matching the best known bound for Markov chains. For the bisimulation kernel of the metric, which corresponds to probabilistic bisimulation, our algorithm works in time O(n4) for both turn-based games and MDPs; improving the previously best known O(n9 · log(n)) time algorithm for MDPs. For a concurrent game G, we show that computing the exact distance between states is at least as hard as computing the value of concurrent reachability games and the square-root-sum problem in computational geometry. We show that checking whether the metric distance is bounded by a rational r, can be accomplished via a reduction to the theory of real closed fields, involving a\r\nformula with three quantifier alternations, yielding O(|G|O(|G|5)) time complexity, improving the previously known reduction with O(|G|O(|G|7)) time complexity. These algorithms can be iterated\r\nto approximate the metrics using binary search."}],"volume":2,"file_date_updated":"2020-07-14T12:46:12Z","date_created":"2018-12-11T12:03:40Z","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","file":[{"checksum":"0a447454a24e273f7ddf51dbfe47f877","relation":"main_file","creator":"dernst","date_created":"2019-05-10T10:01:21Z","file_id":"6398","access_level":"open_access","file_size":442139,"file_name":"2008_LIPIcs_Chatterjee.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:46:12Z"}],"conference":{"name":"FSTTCS: Foundations of Software Technology and Theoretical Computer Science"},"oa":1,"publication_status":"published","ddc":["000"],"date_updated":"2023-02-23T11:46:14Z","month":"12","oa_version":"Published Version","related_material":{"record":[{"id":"3868","relation":"later_version","status":"public"}]},"publist_id":"2883","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","has_accepted_license":"1","alternative_title":["LIPIcs"],"quality_controlled":"1","acknowledgement":"This research was supported in part by the NSF grants CCR-0132780 and CNS-0720884.","doi":"10.4230/LIPIcs.FSTTCS.2008.1745","intvolume":"         2","_id":"3504","page":"107 - 118","title":"Algorithms for game metrics","tmp":{"short":"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","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"status":"public","type":"conference","extern":"1","citation":{"ista":"Chatterjee K, De Alfaro L, Majumdar R, Raman V. 2008. Algorithms for game metrics. FSTTCS: Foundations of Software Technology and Theoretical Computer Science, LIPIcs, vol. 2, 107–118.","ieee":"K. Chatterjee, L. De Alfaro, R. Majumdar, and V. Raman, “Algorithms for game metrics,” presented at the FSTTCS: Foundations of Software Technology and Theoretical Computer Science, 2008, vol. 2, pp. 107–118.","mla":"Chatterjee, Krishnendu, et al. <i>Algorithms for Game Metrics</i>. Vol. 2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2008, pp. 107–18, doi:<a href=\"https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745\">10.4230/LIPIcs.FSTTCS.2008.1745</a>.","apa":"Chatterjee, K., De Alfaro, L., Majumdar, R., &#38; Raman, V. (2008). Algorithms for game metrics (Vol. 2, pp. 107–118). Presented at the FSTTCS: Foundations of Software Technology and Theoretical Computer Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745\">https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745</a>","ama":"Chatterjee K, De Alfaro L, Majumdar R, Raman V. Algorithms for game metrics. In: Vol 2. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2008:107-118. doi:<a href=\"https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745\">10.4230/LIPIcs.FSTTCS.2008.1745</a>","chicago":"Chatterjee, Krishnendu, Luca De Alfaro, Ritankar Majumdar, and Vishwanath Raman. “Algorithms for Game Metrics,” 2:107–18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2008. <a href=\"https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745\">https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1745</a>.","short":"K. Chatterjee, L. De Alfaro, R. Majumdar, V. Raman, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2008, pp. 107–118."}},{"publication":"Nature Neuroscience","month":"05","year":"2008","day":"29","publist_id":"2869","publication_status":"published","date_updated":"2021-01-12T07:44:00Z","issue":"5","author":[{"full_name":"Huxter,John R","first_name":"John","last_name":"Huxter"},{"full_name":"Senior,Timothy J","first_name":"Timothy","last_name":"Senior"},{"full_name":"Allen, Kevin","first_name":"Kevin","last_name":"Allen"},{"orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Jozsef Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"date_published":"2008-05-29T00:00:00Z","abstract":[{"lang":"eng","text":"Temporal coding is a means of representing information by the time, as opposed to the rate, at which neurons fire. Evidence of temporal coding in the hippocampus comes from place cells, whose spike times relative to theta oscillations reflect a rat's position while running along stereotyped trajectories. This arises from the backwards shift in cell firing relative to local theta oscillations (phase precession). Here we demonstrate phase precession during place-field crossings in an open-field foraging task. This produced spike sequences in each theta cycle that disambiguate the rat's trajectory through two-dimensional space and can be used to predict movement direction. Furthermore, position and movement direction were maximally predicted from firing in the early and late portions of the theta cycle, respectively. This represents the first direct evidence of a combined representation of position, trajectory and heading in the hippocampus, organized on a fine temporal scale by theta oscillations."}],"volume":11,"date_created":"2018-12-11T12:03:44Z","doi":"10.1038/nn.2106","intvolume":"        11","_id":"3516","page":"587 - 594","quality_controlled":0,"citation":{"apa":"Huxter, J., Senior, T., Allen, K., &#38; Csicsvari, J. L. (2008). Theta phase-specific codes for two-dimensional position, trajectory and heading in the hippocampus. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.2106\">https://doi.org/10.1038/nn.2106</a>","mla":"Huxter, John, et al. “Theta Phase-Specific Codes for Two-Dimensional Position, Trajectory and Heading in the Hippocampus.” <i>Nature Neuroscience</i>, vol. 11, no. 5, Nature Publishing Group, 2008, pp. 587–94, doi:<a href=\"https://doi.org/10.1038/nn.2106\">10.1038/nn.2106</a>.","short":"J. Huxter, T. Senior, K. Allen, J.L. Csicsvari, Nature Neuroscience 11 (2008) 587–594.","ama":"Huxter J, Senior T, Allen K, Csicsvari JL. Theta phase-specific codes for two-dimensional position, trajectory and heading in the hippocampus. <i>Nature Neuroscience</i>. 2008;11(5):587-594. doi:<a href=\"https://doi.org/10.1038/nn.2106\">10.1038/nn.2106</a>","chicago":"Huxter, John, Timothy Senior, Kevin Allen, and Jozsef L Csicsvari. “Theta Phase-Specific Codes for Two-Dimensional Position, Trajectory and Heading in the Hippocampus.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2008. <a href=\"https://doi.org/10.1038/nn.2106\">https://doi.org/10.1038/nn.2106</a>.","ista":"Huxter J, Senior T, Allen K, Csicsvari JL. 2008. Theta phase-specific codes for two-dimensional position, trajectory and heading in the hippocampus. Nature Neuroscience. 11(5), 587–594.","ieee":"J. Huxter, T. Senior, K. Allen, and J. L. Csicsvari, “Theta phase-specific codes for two-dimensional position, trajectory and heading in the hippocampus,” <i>Nature Neuroscience</i>, vol. 11, no. 5. Nature Publishing Group, pp. 587–594, 2008."},"extern":1,"publisher":"Nature Publishing Group","title":"Theta phase-specific codes for two-dimensional position, trajectory and heading in the hippocampus","status":"public","type":"journal_article"},{"publication_status":"published","date_updated":"2021-01-12T07:44:02Z","publication":"Nature Neuroscience","month":"02","year":"2008","publist_id":"2864","day":"01","author":[{"last_name":"O'Neill","first_name":"Joseph","full_name":"Joseph O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Senior","first_name":"Timothy","full_name":"Senior,Timothy J"},{"full_name":"Allen, Kevin","first_name":"Kevin","last_name":"Allen"},{"first_name":"John","last_name":"Huxter","full_name":"Huxter,John R"},{"full_name":"Jozsef Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"}],"date_published":"2008-02-01T00:00:00Z","abstract":[{"lang":"eng","text":"The hippocampus is thought to be involved in episodic memory formation by reactivating traces of waking experience during sleep. Indeed, the joint firing of spatially tuned pyramidal cells encoding nearby places recur during sleep. We found that the sleep cofiring of rat CA1 pyramidal cells encoding similar places increased relative to the sleep session before exploration. This cofiring increase depended on the number of times that cells fired together with short latencies ( &lt; 50 ms) during exploration, and was strongest between cells representing the most visited places. This is indicative of a Hebbian learning rule in which changes in firing associations between cells are determined by the number of waking coincident firing events. In contrast, cells encoding different locations reduced their cofiring in proportion to the number of times that they fired independently. Together these data indicate that reactivated patterns are shaped by both positive and negative changes in cofiring, which are determined by recent behavior."}],"volume":11,"issue":"2","quality_controlled":0,"doi":"10.1038/nn2037","date_created":"2018-12-11T12:03:46Z","intvolume":"        11","page":"209 - 215","_id":"3520","title":"Reactivation of experience-dependent cell assembly patterns in the hippocampus","type":"journal_article","status":"public","citation":{"ieee":"J. O’Neill, T. Senior, K. Allen, J. Huxter, and J. L. Csicsvari, “Reactivation of experience-dependent cell assembly patterns in the hippocampus,” <i>Nature Neuroscience</i>, vol. 11, no. 2. Nature Publishing Group, pp. 209–215, 2008.","ista":"O’Neill J, Senior T, Allen K, Huxter J, Csicsvari JL. 2008. Reactivation of experience-dependent cell assembly patterns in the hippocampus. Nature Neuroscience. 11(2), 209–215.","ama":"O’Neill J, Senior T, Allen K, Huxter J, Csicsvari JL. Reactivation of experience-dependent cell assembly patterns in the hippocampus. <i>Nature Neuroscience</i>. 2008;11(2):209-215. doi:<a href=\"https://doi.org/10.1038/nn2037\">10.1038/nn2037</a>","short":"J. O’Neill, T. Senior, K. Allen, J. Huxter, J.L. Csicsvari, Nature Neuroscience 11 (2008) 209–215.","chicago":"O’Neill, Joseph, Timothy Senior, Kevin Allen, John Huxter, and Jozsef L Csicsvari. “Reactivation of Experience-Dependent Cell Assembly Patterns in the Hippocampus.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2008. <a href=\"https://doi.org/10.1038/nn2037\">https://doi.org/10.1038/nn2037</a>.","apa":"O’Neill, J., Senior, T., Allen, K., Huxter, J., &#38; Csicsvari, J. L. (2008). Reactivation of experience-dependent cell assembly patterns in the hippocampus. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn2037\">https://doi.org/10.1038/nn2037</a>","mla":"O’Neill, Joseph, et al. “Reactivation of Experience-Dependent Cell Assembly Patterns in the Hippocampus.” <i>Nature Neuroscience</i>, vol. 11, no. 2, Nature Publishing Group, 2008, pp. 209–15, doi:<a href=\"https://doi.org/10.1038/nn2037\">10.1038/nn2037</a>."},"extern":1,"publisher":"Nature Publishing Group"},{"publication_status":"published","date_updated":"2021-01-12T07:44:06Z","publication":"Neuron","month":"03","day":"27","publist_id":"2855","year":"2008","author":[{"full_name":"Fuentealba,Pablo","first_name":"Pablo","last_name":"Fuentealba"},{"full_name":"Begum,Rahima","last_name":"Begum","first_name":"Rahima"},{"last_name":"Capogna","first_name":"Marco","full_name":"Capogna,Marco"},{"full_name":"Jinno,Shozo","last_name":"Jinno","first_name":"Shozo"},{"full_name":"Marton,Laszlo F","last_name":"Marton","first_name":"Laszlo"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Jozsef Csicsvari","orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari"},{"full_name":"Thomson,Alex","first_name":"Alex","last_name":"Thomson"},{"last_name":"Somogyi","first_name":"Péter","full_name":"Somogyi, Péter"},{"full_name":"Klausberger,Thomas","first_name":"Thomas","last_name":"Klausberger"}],"abstract":[{"text":"In the cerebral cortex, GABAergic interneurons are often regarded as fast-spiking cells. We have identified a type of slow-spiking interneuron that offers distinct contributions to network activity. “Ivy” cells, named after their dense and fine axons innervating mostly basal and oblique pyramidal cell dendrites, are more numerous than the parvalbumin-expressing basket, bistratified, or axo-axonic cells. Ivy cells express nitric oxide synthase, neuropeptide Y, and high levels of GABA(A) receptor alpha 1 subunit; they discharge at a low frequency with wide spikes in vivo, yet are distinctively phase-locked to behaviorally relevant network rhythms including theta, gamma, and ripple oscillations. Paired recordings in vitro showed that Ivy cells receive depressing EPSPs from pyramidal cells, which in turn receive slowly rising and decaying inhibitory input from Ivy cells. In contrast to fast-spiking interneurons operating with millisecond precision, the highly abundant Ivy cells express presynaptically acting neuromodulators and regulate the excitability of pyramidal cell dendrites through slowly rising and decaying GABAergic inputs.","lang":"eng"}],"volume":57,"date_published":"2008-03-27T00:00:00Z","issue":"6","quality_controlled":0,"date_created":"2018-12-11T12:03:49Z","doi":"10.1016/j.neuron.2008.01.034","page":"917 - 929","_id":"3530","intvolume":"        57","title":"Ivy cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activity","type":"journal_article","status":"public","publisher":"Elsevier","citation":{"short":"P. Fuentealba, R. Begum, M. Capogna, S. Jinno, L. Marton, J.L. Csicsvari, A. Thomson, P. Somogyi, T. Klausberger, Neuron 57 (2008) 917–929.","chicago":"Fuentealba, Pablo, Rahima Begum, Marco Capogna, Shozo Jinno, Laszlo Marton, Jozsef L Csicsvari, Alex Thomson, Péter Somogyi, and Thomas Klausberger. “Ivy Cells: A Population of Nitric-Oxide-Producing, Slow-Spiking GABAergic Neurons and Their Involvement in Hippocampal Network Activity.” <i>Neuron</i>. Elsevier, 2008. <a href=\"https://doi.org/10.1016/j.neuron.2008.01.034\">https://doi.org/10.1016/j.neuron.2008.01.034</a>.","ama":"Fuentealba P, Begum R, Capogna M, et al. Ivy cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activity. <i>Neuron</i>. 2008;57(6):917-929. doi:<a href=\"https://doi.org/10.1016/j.neuron.2008.01.034\">10.1016/j.neuron.2008.01.034</a>","apa":"Fuentealba, P., Begum, R., Capogna, M., Jinno, S., Marton, L., Csicsvari, J. L., … Klausberger, T. (2008). Ivy cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activity. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2008.01.034\">https://doi.org/10.1016/j.neuron.2008.01.034</a>","mla":"Fuentealba, Pablo, et al. “Ivy Cells: A Population of Nitric-Oxide-Producing, Slow-Spiking GABAergic Neurons and Their Involvement in Hippocampal Network Activity.” <i>Neuron</i>, vol. 57, no. 6, Elsevier, 2008, pp. 917–29, doi:<a href=\"https://doi.org/10.1016/j.neuron.2008.01.034\">10.1016/j.neuron.2008.01.034</a>.","ista":"Fuentealba P, Begum R, Capogna M, Jinno S, Marton L, Csicsvari JL, Thomson A, Somogyi P, Klausberger T. 2008. Ivy cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activity. Neuron. 57(6), 917–929.","ieee":"P. Fuentealba <i>et al.</i>, “Ivy cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activity,” <i>Neuron</i>, vol. 57, no. 6. Elsevier, pp. 917–929, 2008."},"extern":1},{"quality_controlled":0,"_id":"3534","page":"18079 - 18080","intvolume":"       105","doi":"10.1073/pnas.0810064105","date_created":"2018-12-11T12:03:50Z","status":"public","type":"journal_article","title":"Inhibitory interneurons and network oscillations","publisher":"National Academy of Sciences","citation":{"ista":"Dupret D, Pleydell Bouverie B, Csicsvari JL. 2008. Inhibitory interneurons and network oscillations. PNAS. 105(47), 18079–18080.","ieee":"D. Dupret, B. Pleydell Bouverie, and J. L. Csicsvari, “Inhibitory interneurons and network oscillations,” <i>PNAS</i>, vol. 105, no. 47. National Academy of Sciences, pp. 18079–18080, 2008.","ama":"Dupret D, Pleydell Bouverie B, Csicsvari JL. Inhibitory interneurons and network oscillations. <i>PNAS</i>. 2008;105(47):18079-18080. doi:<a href=\"https://doi.org/10.1073/pnas.0810064105\">10.1073/pnas.0810064105</a>","chicago":"Dupret, David, Barty Pleydell Bouverie, and Jozsef L Csicsvari. “Inhibitory Interneurons and Network Oscillations.” <i>PNAS</i>. National Academy of Sciences, 2008. <a href=\"https://doi.org/10.1073/pnas.0810064105\">https://doi.org/10.1073/pnas.0810064105</a>.","short":"D. Dupret, B. Pleydell Bouverie, J.L. Csicsvari, PNAS 105 (2008) 18079–18080.","mla":"Dupret, David, et al. “Inhibitory Interneurons and Network Oscillations.” <i>PNAS</i>, vol. 105, no. 47, National Academy of Sciences, 2008, pp. 18079–80, doi:<a href=\"https://doi.org/10.1073/pnas.0810064105\">10.1073/pnas.0810064105</a>.","apa":"Dupret, D., Pleydell Bouverie, B., &#38; Csicsvari, J. L. (2008). Inhibitory interneurons and network oscillations. <i>PNAS</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.0810064105\">https://doi.org/10.1073/pnas.0810064105</a>"},"extern":1,"date_updated":"2021-01-12T07:44:08Z","publication_status":"published","day":"25","publist_id":"2852","year":"2008","month":"11","publication":"PNAS","volume":105,"date_published":"2008-11-25T00:00:00Z","author":[{"full_name":"Dupret, David","first_name":"David","last_name":"Dupret"},{"full_name":"Pleydell-Bouverie, Barty","last_name":"Pleydell Bouverie","first_name":"Barty"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Jozsef Csicsvari","last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036"}],"issue":"47"},{"author":[{"full_name":"Senior,Timothy J","first_name":"Timothy","last_name":"Senior"},{"full_name":"Huxter,John R","last_name":"Huxter","first_name":"John"},{"full_name":"Allen, Kevin","last_name":"Allen","first_name":"Kevin"},{"full_name":"Joseph O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87","first_name":"Joseph","last_name":"O'Neill"},{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Jozsef Csicsvari"}],"abstract":[{"lang":"eng","text":"Hippocampal place cells that fire together within the same cycle of theta oscillations represent the sequence of positions (movement trajectory) that a rat traverses on a linear track. Furthermore, it has been suggested that the encoding of these and other types of temporal memory sequences is organized by gamma oscillations nested within theta oscillations. Here, we examined whether gamma-related firing of place cells permits such discrete temporal coding. We found that gamma-modulated CA1 pyramidal cells separated into two classes on the basis of gamma firing phases during waking theta periods. These groups also differed in terms of their spike waveforms, firing rates, and burst firing tendency. During gamma oscillations one group's firing became restricted to theta phases associated with the highest gamma power. Consequently, on the linear track, cells in this group often failed to fire early in theta-phase precession (as the rat entered the place field) if gamma oscillations were present. The second group fired throughout the theta cycle during gamma oscillations, and maintained gamma-modulated firing at different stages of theta-phase precession. Our results suggest that the two different pyramidal cell classes may support different types of population codes within a theta cycle: one in which spike sequences representing movement trajectories occur across subsequent gamma cycles nested within each theta cycle, and another in which firing in synchronized gamma discharges without temporal sequences encode a representation of location. We propose that gamma oscillations during theta-phase precession organize the mnemonic recall of population patterns representing places and movement paths."}],"volume":28,"date_published":"2008-02-27T00:00:00Z","issue":"9","publication_status":"published","date_updated":"2021-01-12T07:44:09Z","publication":"Journal of Neuroscience","month":"02","publist_id":"2847","day":"27","year":"2008","title":"Gamma oscillatory firing reveals distinct populations of pyramidal cells in the CA1 region of the hippocampus","type":"journal_article","status":"public","publisher":"Society for Neuroscience","extern":1,"citation":{"ista":"Senior T, Huxter J, Allen K, O’Neill J, Csicsvari JL. 2008. Gamma oscillatory firing reveals distinct populations of pyramidal cells in the CA1 region of the hippocampus. Journal of Neuroscience. 28(9), 2274–2286.","ieee":"T. Senior, J. Huxter, K. Allen, J. O’Neill, and J. L. Csicsvari, “Gamma oscillatory firing reveals distinct populations of pyramidal cells in the CA1 region of the hippocampus,” <i>Journal of Neuroscience</i>, vol. 28, no. 9. Society for Neuroscience, pp. 2274–2286, 2008.","mla":"Senior, Timothy, et al. “Gamma Oscillatory Firing Reveals Distinct Populations of Pyramidal Cells in the CA1 Region of the Hippocampus.” <i>Journal of Neuroscience</i>, vol. 28, no. 9, Society for Neuroscience, 2008, pp. 2274–86, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.4669-07.2008\">10.1523/JNEUROSCI.4669-07.2008</a>.","apa":"Senior, T., Huxter, J., Allen, K., O’Neill, J., &#38; Csicsvari, J. L. (2008). Gamma oscillatory firing reveals distinct populations of pyramidal cells in the CA1 region of the hippocampus. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.4669-07.2008\">https://doi.org/10.1523/JNEUROSCI.4669-07.2008</a>","ama":"Senior T, Huxter J, Allen K, O’Neill J, Csicsvari JL. Gamma oscillatory firing reveals distinct populations of pyramidal cells in the CA1 region of the hippocampus. <i>Journal of Neuroscience</i>. 2008;28(9):2274-2286. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.4669-07.2008\">10.1523/JNEUROSCI.4669-07.2008</a>","short":"T. Senior, J. Huxter, K. Allen, J. O’Neill, J.L. Csicsvari, Journal of Neuroscience 28 (2008) 2274–2286.","chicago":"Senior, Timothy, John Huxter, Kevin Allen, Joseph O’Neill, and Jozsef L Csicsvari. “Gamma Oscillatory Firing Reveals Distinct Populations of Pyramidal Cells in the CA1 Region of the Hippocampus.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2008. <a href=\"https://doi.org/10.1523/JNEUROSCI.4669-07.2008\">https://doi.org/10.1523/JNEUROSCI.4669-07.2008</a>."},"quality_controlled":0,"date_created":"2018-12-11T12:03:51Z","doi":"10.1523/JNEUROSCI.4669-07.2008","page":"2274 - 2286","_id":"3537","intvolume":"        28"},{"doi":"10.1523/JNEUROSCI.0123-08.2008","date_created":"2018-12-11T12:03:53Z","intvolume":"        28","_id":"3544","page":"4795 - 4806","quality_controlled":0,"extern":1,"citation":{"chicago":"Mallet, Nicolas, Alek Pogosyan, Andrew Sharott, Jozsef L Csicsvari, John Bolam, Peter Brown, and Peter Magill. “Disrupted Dopamine Transmission and the Emergence of Exaggerated Beta Oscillations in Subthalamic Nucleus and Cerebral Cortex.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2008. <a href=\"https://doi.org/10.1523/JNEUROSCI.0123-08.2008\">https://doi.org/10.1523/JNEUROSCI.0123-08.2008</a>.","ama":"Mallet N, Pogosyan A, Sharott A, et al. Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex. <i>Journal of Neuroscience</i>. 2008;28(18):4795-4806. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0123-08.2008\">10.1523/JNEUROSCI.0123-08.2008</a>","short":"N. Mallet, A. Pogosyan, A. Sharott, J.L. Csicsvari, J. Bolam, P. Brown, P. Magill, Journal of Neuroscience 28 (2008) 4795–4806.","mla":"Mallet, Nicolas, et al. “Disrupted Dopamine Transmission and the Emergence of Exaggerated Beta Oscillations in Subthalamic Nucleus and Cerebral Cortex.” <i>Journal of Neuroscience</i>, vol. 28, no. 18, Society for Neuroscience, 2008, pp. 4795–806, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0123-08.2008\">10.1523/JNEUROSCI.0123-08.2008</a>.","apa":"Mallet, N., Pogosyan, A., Sharott, A., Csicsvari, J. L., Bolam, J., Brown, P., &#38; Magill, P. (2008). Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0123-08.2008\">https://doi.org/10.1523/JNEUROSCI.0123-08.2008</a>","ista":"Mallet N, Pogosyan A, Sharott A, Csicsvari JL, Bolam J, Brown P, Magill P. 2008. Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex. Journal of Neuroscience. 28(18), 4795–4806.","ieee":"N. Mallet <i>et al.</i>, “Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex,” <i>Journal of Neuroscience</i>, vol. 28, no. 18. Society for Neuroscience, pp. 4795–4806, 2008."},"publisher":"Society for Neuroscience","title":"Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex","type":"journal_article","status":"public","publication":"Journal of Neuroscience","month":"04","year":"2008","publist_id":"2842","day":"30","publication_status":"published","date_updated":"2021-01-12T07:44:12Z","issue":"18","author":[{"full_name":"Mallet,Nicolas","first_name":"Nicolas","last_name":"Mallet"},{"full_name":"Pogosyan,Alek","first_name":"Alek","last_name":"Pogosyan"},{"first_name":"Andrew","last_name":"Sharott","full_name":"Sharott,Andrew"},{"orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Jozsef Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"first_name":"John","last_name":"Bolam","full_name":"Bolam, John Paul"},{"last_name":"Brown","first_name":"Peter","full_name":"Brown,Peter"},{"first_name":"Peter","last_name":"Magill","full_name":"Magill,Peter J"}],"date_published":"2008-04-30T00:00:00Z","volume":28,"abstract":[{"lang":"eng","text":"In the subthalamic nucleus (STN) of Parkinson's disease (PD) patients, a pronounced synchronization of oscillatory activity at beta frequencies (15-30 Hz) accompanies movement difficulties. Abnormal beta oscillations and motor symptoms are concomitantly and acutely suppressed by dopaminergic therapies, suggesting that these inappropriate rhythms might also emerge acutely from disrupted dopamine transmission. The neural basis of these abnormal beta oscillations is unclear, and how they might compromise information processing, or how they arise, is unknown. Using a 6-hydroxydopamine-lesioned rodent model of PD, we demonstrate that beta oscillations are inappropriately exaggerated, compared with controls, in a brain-state-dependent manner after chronic dopamine loss. Exaggerated beta oscillations are expressed at the levels of single neurons and small neuronal ensembles, and are focally present and spatially distributed within STN. They are also expressed in synchronous population activities, as evinced by oscillatory local field potentials, in STN and cortex. Excessively synchronized beta oscillations reduce the information coding capacity of STN neuronal ensembles, which may contribute to parkinsonian motor impairment. Acute disruption of dopamine transmission in control animals with antagonists of D-1/D-2 receptors did not exaggerate STN or cortical beta oscillations. Moreover, beta oscillations were not exaggerated until several days after 6-hydroxydopamine injections. Thus, contrary to predictions, abnormally amplified beta oscillations in cortico-STN circuits do not result simply from an acute absence of dopamine receptor stimulation, but are instead delayed sequelae of chronic dopamine depletion. Targeting the plastic processes underlying the delayed emergence of pathological beta oscillations after continuing dopaminergic dysfunction may offer considerable therapeutic promise."}]},{"publisher":"Springer","citation":{"apa":"Biasotti, S., Attali, D., Boissonnat, J., Edelsbrunner, H., Elber, G., Mortara, M., … Veltkam, R. (2008). Skeletal structures. In <i>Shape Analysis and Structuring</i> (pp. 145–183). Springer. <a href=\"https://doi.org/10.1007/978-3-540-33265-7_5\">https://doi.org/10.1007/978-3-540-33265-7_5</a>","mla":"Biasotti, Silvia, et al. “Skeletal Structures.” <i>Shape Analysis and Structuring</i>, Springer, 2008, pp. 145–83, doi:<a href=\"https://doi.org/10.1007/978-3-540-33265-7_5\">10.1007/978-3-540-33265-7_5</a>.","chicago":"Biasotti, Silvia, Dominique Attali, Jean Boissonnat, Herbert Edelsbrunner, Gershon Elber, Michela Mortara, Gabriella Sanniti Di Baja, Michela Spagnuolo, Mirela Tanase, and Remco Veltkam. “Skeletal Structures.” In <i>Shape Analysis and Structuring</i>, 145–83. Springer, 2008. <a href=\"https://doi.org/10.1007/978-3-540-33265-7_5\">https://doi.org/10.1007/978-3-540-33265-7_5</a>.","ama":"Biasotti S, Attali D, Boissonnat J, et al. Skeletal structures. In: <i>Shape Analysis and Structuring</i>. Springer; 2008:145-183. doi:<a href=\"https://doi.org/10.1007/978-3-540-33265-7_5\">10.1007/978-3-540-33265-7_5</a>","short":"S. Biasotti, D. Attali, J. Boissonnat, H. Edelsbrunner, G. Elber, M. Mortara, G. Sanniti Di Baja, M. Spagnuolo, M. Tanase, R. Veltkam, in:, Shape Analysis and Structuring, Springer, 2008, pp. 145–183.","ista":"Biasotti S, Attali D, Boissonnat J, Edelsbrunner H, Elber G, Mortara M, Sanniti Di Baja G, Spagnuolo M, Tanase M, Veltkam R. 2008.Skeletal structures. In: Shape Analysis and Structuring. Mathematics and Visualization, , 145–183.","ieee":"S. Biasotti <i>et al.</i>, “Skeletal structures,” in <i>Shape Analysis and Structuring</i>, Springer, 2008, pp. 145–183."},"extern":1,"title":"Skeletal structures","type":"book_chapter","status":"public","date_created":"2018-12-11T12:04:03Z","doi":"10.1007/978-3-540-33265-7_5","_id":"3577","page":"145 - 183","quality_controlled":0,"alternative_title":["Mathematics and Visualization"],"author":[{"full_name":"Biasotti, Silvia","first_name":"Silvia","last_name":"Biasotti"},{"first_name":"Dominique","last_name":"Attali","full_name":"Attali, Dominique"},{"full_name":"Boissonnat, Jean-Daniel","first_name":"Jean","last_name":"Boissonnat"},{"id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","full_name":"Herbert Edelsbrunner","first_name":"Herbert","last_name":"Edelsbrunner","orcid":"0000-0002-9823-6833"},{"full_name":"Elber, Gershon","last_name":"Elber","first_name":"Gershon"},{"first_name":"Michela","last_name":"Mortara","full_name":"Mortara, Michela"},{"first_name":"Gabriella","last_name":"Sanniti Di Baja","full_name":"Sanniti di Baja, Gabriella"},{"full_name":"Spagnuolo, Michela","last_name":"Spagnuolo","first_name":"Michela"},{"last_name":"Tanase","first_name":"Mirela","full_name":"Tanase, Mirela"},{"full_name":"Veltkam, Remco","first_name":"Remco","last_name":"Veltkam"}],"date_published":"2008-01-01T00:00:00Z","month":"01","publication":"Shape Analysis and Structuring","day":"01","publist_id":"2808","year":"2008","publication_status":"published","date_updated":"2021-01-12T07:44:25Z"},{"title":"Probing E-cadherin endocytosis by morpholino-mediated Rab5 knock-down in zebrafish.","status":"public","type":"journal_article","extern":"1","article_processing_charge":"No","citation":{"ama":"Ulrich F, Heisenberg C-PJ. Probing E-cadherin endocytosis by morpholino-mediated Rab5 knock-down in zebrafish. <i>Methods in Molecular Biology</i>. 2008;440:371-387. doi:<a href=\"https://doi.org/10.1007/978-1-59745-178-9_27\">10.1007/978-1-59745-178-9_27</a>","short":"F. Ulrich, C.-P.J. Heisenberg, Methods in Molecular Biology 440 (2008) 371–387.","chicago":"Ulrich, Florian, and Carl-Philipp J Heisenberg. “Probing E-Cadherin Endocytosis by Morpholino-Mediated Rab5 Knock-down in Zebrafish.” <i>Methods in Molecular Biology</i>. Springer, 2008. <a href=\"https://doi.org/10.1007/978-1-59745-178-9_27\">https://doi.org/10.1007/978-1-59745-178-9_27</a>.","mla":"Ulrich, Florian, and Carl-Philipp J. Heisenberg. “Probing E-Cadherin Endocytosis by Morpholino-Mediated Rab5 Knock-down in Zebrafish.” <i>Methods in Molecular Biology</i>, vol. 440, Springer, 2008, pp. 371–87, doi:<a href=\"https://doi.org/10.1007/978-1-59745-178-9_27\">10.1007/978-1-59745-178-9_27</a>.","apa":"Ulrich, F., &#38; Heisenberg, C.-P. J. (2008). Probing E-cadherin endocytosis by morpholino-mediated Rab5 knock-down in zebrafish. <i>Methods in Molecular Biology</i>. Springer. <a href=\"https://doi.org/10.1007/978-1-59745-178-9_27\">https://doi.org/10.1007/978-1-59745-178-9_27</a>","ieee":"F. Ulrich and C.-P. J. Heisenberg, “Probing E-cadherin endocytosis by morpholino-mediated Rab5 knock-down in zebrafish.,” <i>Methods in Molecular Biology</i>, vol. 440. Springer, pp. 371–387, 2008.","ista":"Ulrich F, Heisenberg C-PJ. 2008. Probing E-cadherin endocytosis by morpholino-mediated Rab5 knock-down in zebrafish. Methods in Molecular Biology. 440, 371–387."},"publisher":"Springer","date_created":"2018-12-11T12:04:08Z","doi":"10.1007/978-1-59745-178-9_27","intvolume":"       440","page":"371 - 387","_id":"3591","author":[{"last_name":"Ulrich","first_name":"Florian","full_name":"Ulrich, Florian"},{"orcid":"0000-0002-0912-4566","last_name":"Heisenberg","first_name":"Carl-Philipp J","id":"39427864-F248-11E8-B48F-1D18A9856A87","full_name":"Heisenberg, Carl-Philipp J"}],"date_published":"2008-01-01T00:00:00Z","abstract":[{"text":"The controlled internalization of membrane receptors and lipids is crucial for cells to control signaling pathways and interact with their environment. During clathrin-mediated endocytosis, membrane constituents are transported via endocytic vesicles into early endosomes, from which they are further distributed within the cell. The small guanosine triphosphatase (GTPase) Rab5 is both required and sufficient for the formation of these early endosomes and can be used to experimentally address endocytic processes. Recent evidence shows that endocytic turnover of E-cadherin regulates the migration of mesendodermal cells during zebrafish gastrulation by modulating their adhesive interactions with neighboring cells. This in turn leads to effective and synchronized movement within the embryo. In this review, we discuss techniques to manipulate E-cadherin endocytosis by morpholino-mediated knockdown of rab5 during zebrafish gastrulation. We describe the use of antibodies specifically directed against zebrafish E-cadherin to detect its intracellular localization and of in situ hybridization and primary cell culture to reveal patterns of cell migration and adhesion, respectively","lang":"eng"}],"volume":440,"publication_status":"published","date_updated":"2021-01-12T07:44:31Z","oa_version":"None","month":"01","publication":"Methods in Molecular Biology","year":"2008","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publist_id":"2792","day":"01"},{"abstract":[{"lang":"eng","text":"In this paper, adaptive formation control and bio-inspired optimization are jointly addressed for a cluster-based satellite wireless sensor network in which there are multiple satellites flying in formation (MSFF) in the presence of unknown disturbances. The full nonlinear dynamics model describing the relative positioning of the MSFF system is used to develop an adaptive formation controller. First, the original nonlinear system is transformed into a linear controllable system with aperturbation term by invoking the input-output feedback linearization technique. Second, by using the integral feedback design scheme, the adaptive formation controller is presented for improving the steady-state performance of the MSFF system in the presence of unknown disturbances. Third, as a currently popular bio-inspired algorithm, PSO (particle swarm optimizer) is employed to minimize the total energy consumption under the required quality of service by jointly optimizing the transmission power and rate for each satellite. Simulation results are provided to demonstrate the effectiveness of the adaptive formation controller and the PSO-based optimization for saving the total communication energy."}],"date_published":"2008-08-01T00:00:00Z","author":[{"first_name":"Erfu","last_name":"Yang","full_name":"Yang, Erfu"},{"full_name":"Erdogan, Ahmet T","last_name":"Erdogan","first_name":"Ahmet"},{"full_name":"Arslan, Tughrul","first_name":"Tughrul","last_name":"Arslan"},{"id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Nicholas Barton","first_name":"Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240"}],"date_updated":"2021-01-12T07:44:34Z","publication_status":"published","conference":{"name":"AHS: NASA/ESA Conference on Adaptive Hardware and Systems"},"day":"01","publist_id":"2784","year":"2008","month":"08","status":"public","type":"conference","title":"Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network ","publisher":"IEEE","citation":{"chicago":"Yang, Erfu, Ahmet Erdogan, Tughrul Arslan, and Nicholas H Barton. “Adaptive Formation Control and Bio-Inspired Optimization of a Cluster-Based Satellite Wireless Sensor Network ,” 432–39. IEEE, 2008. <a href=\"https://doi.org/10.1109/AHS.2008.60\">https://doi.org/10.1109/AHS.2008.60</a>.","short":"E. Yang, A. Erdogan, T. Arslan, N.H. Barton, in:, IEEE, 2008, pp. 432–439.","ama":"Yang E, Erdogan A, Arslan T, Barton NH. Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network . In: IEEE; 2008:432-439. doi:<a href=\"https://doi.org/10.1109/AHS.2008.60\">10.1109/AHS.2008.60</a>","mla":"Yang, Erfu, et al. <i>Adaptive Formation Control and Bio-Inspired Optimization of a Cluster-Based Satellite Wireless Sensor Network </i>. IEEE, 2008, pp. 432–39, doi:<a href=\"https://doi.org/10.1109/AHS.2008.60\">10.1109/AHS.2008.60</a>.","apa":"Yang, E., Erdogan, A., Arslan, T., &#38; Barton, N. H. (2008). Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network  (pp. 432–439). Presented at the AHS: NASA/ESA Conference on Adaptive Hardware and Systems, IEEE. <a href=\"https://doi.org/10.1109/AHS.2008.60\">https://doi.org/10.1109/AHS.2008.60</a>","ieee":"E. Yang, A. Erdogan, T. Arslan, and N. H. Barton, “Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network ,” presented at the AHS: NASA/ESA Conference on Adaptive Hardware and Systems, 2008, pp. 432–439.","ista":"Yang E, Erdogan A, Arslan T, Barton NH. 2008. Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network . AHS: NASA/ESA Conference on Adaptive Hardware and Systems, 432–439."},"extern":1,"quality_controlled":0,"_id":"3599","page":"432 - 439","date_created":"2018-12-11T12:04:10Z","doi":"10.1109/AHS.2008.60"},{"intvolume":"      5216","_id":"3600","page":"249 - 260","doi":"10.1007/978-3-540-85857-7_22","date_created":"2018-12-11T12:04:10Z","quality_controlled":0,"extern":1,"citation":{"apa":"Yang, E., Barton, N. H., Arslan, T., &#38; Erdogan, A. (2008).  Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network (Vol. 5216, pp. 249–260). Presented at the IECS: International Conference on Evolvable Systems, Springer. <a href=\"https://doi.org/10.1007/978-3-540-85857-7_22\">https://doi.org/10.1007/978-3-540-85857-7_22</a>","mla":"Yang, Erfu, et al. <i> Scalability of a Novel Shifting Balance Theory-Based Optimization Algorithm: A Comparative Study on a Cluster-Based Wireless Sensor Network</i>. Vol. 5216, Springer, 2008, pp. 249–60, doi:<a href=\"https://doi.org/10.1007/978-3-540-85857-7_22\">10.1007/978-3-540-85857-7_22</a>.","ama":"Yang E, Barton NH, Arslan T, Erdogan A.  Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network. In: Vol 5216. Springer; 2008:249-260. doi:<a href=\"https://doi.org/10.1007/978-3-540-85857-7_22\">10.1007/978-3-540-85857-7_22</a>","short":"E. Yang, N.H. Barton, T. Arslan, A. Erdogan, in:, Springer, 2008, pp. 249–260.","chicago":"Yang, Erfu, Nicholas H Barton, Tughrul Arslan, and Ahmet Erdogan. “ Scalability of a Novel Shifting Balance Theory-Based Optimization Algorithm: A Comparative Study on a Cluster-Based Wireless Sensor Network,” 5216:249–60. Springer, 2008. <a href=\"https://doi.org/10.1007/978-3-540-85857-7_22\">https://doi.org/10.1007/978-3-540-85857-7_22</a>.","ieee":"E. Yang, N. H. Barton, T. Arslan, and A. Erdogan, “ Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network,” presented at the IECS: International Conference on Evolvable Systems, 2008, vol. 5216, pp. 249–260.","ista":"Yang E, Barton NH, Arslan T, Erdogan A. 2008.  Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network. IECS: International Conference on Evolvable Systems, LNCS, vol. 5216, 249–260."},"publisher":"Springer","status":"public","type":"conference","title":" Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network","year":"2008","day":"08","publist_id":"2783","month":"09","date_updated":"2021-01-12T07:44:35Z","conference":{"name":"IECS: International Conference on Evolvable Systems"},"publication_status":"published","alternative_title":["LNCS"],"date_published":"2008-09-08T00:00:00Z","volume":5216,"abstract":[{"lang":"eng","text":"Scalability is one of the most important issues for optimization algorithms used in wireless sensor networks (WSNs) since there are often many parameters to be optimized at the same time. In this case it is very hard to ensure that an optimization algorithm can be smoothly scaled up from a low-dimensional optimization problem to the one with a high dimensionality. This paper addresses the scalability issue of a novel optimization algorithm inspired by the Shifting Balance Theory (SBT) of evolution in population genetics. Toward this end, a cluster-based WSN is employed in this paper as a benchmark to perform a comparative study. The total energy consumption is minimized under the required quality of service by jointly optimizing the transmission power and rate for each sensor node. The results obtained by the SBT-based algorithm are compared with the Metropolis algorithm (MA) and currently popular particle swarm optimizer (PSO) to assess the scaling performance of the three algorithms against the same WSN optimization problem."}],"author":[{"last_name":"Yang","first_name":"Erfu","full_name":"Yang, Erfu"},{"orcid":"0000-0002-8548-5240","first_name":"Nicholas H","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Nicholas Barton"},{"full_name":"Arslan, Tughrul","first_name":"Tughrul","last_name":"Arslan"},{"last_name":"Erdogan","first_name":"Ahmet","full_name":"Erdogan, Ahmet T"}]},{"day":"01","publist_id":"2778","year":"2008","month":"05","publication":"American Naturalist","date_updated":"2021-01-12T07:44:36Z","publication_status":"published","issue":"5","volume":171,"abstract":[{"lang":"eng","text":"Many animals and plants show a correlation between the traits of the individuals in the mating pair, implying assortative mating. Given the ubiquity of assortative mating in nature, why and how it has evolved remain open questions. Here we attempt to answer these questions in those cases where the trait under assortment is the same in males and females. We consider the most favorable scenario for assortment to evolve, where the same trait is under assortment and viability selection. We find conditions for assortment to evolve using a multilocus formalism in a haploid population. Our results show how epistasis in fitness between the loci that control the focal trait is crucial for assortment to evolve. We then assume specific forms of assortment in haploids and diploids and study the limiting cases of selective and nonselective mating. We find that selection for increased assortment is weak and that where increased assortment is costly, it does not invade."}],"date_published":"2008-05-01T00:00:00Z","author":[{"full_name":"De Cara, Maria A","last_name":"De Cara","first_name":"Maria"},{"first_name":"Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240","full_name":"Nicholas Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Kirkpatrick, Mark","first_name":"Mark","last_name":"Kirkpatrick"}],"_id":"3605","page":"580 - 596","intvolume":"       171","doi":"10.1086/587062","date_created":"2018-12-11T12:04:12Z","quality_controlled":0,"publisher":"University of Chicago Press","citation":{"ieee":"M. De Cara, N. H. Barton, and M. Kirkpatrick, “A model for the evolution of assortative mating,” <i>American Naturalist</i>, vol. 171, no. 5. University of Chicago Press, pp. 580–596, 2008.","ista":"De Cara M, Barton NH, Kirkpatrick M. 2008. A model for the evolution of assortative mating. American Naturalist. 171(5), 580–596.","mla":"De Cara, Maria, et al. “A Model for the Evolution of Assortative Mating.” <i>American Naturalist</i>, vol. 171, no. 5, University of Chicago Press, 2008, pp. 580–96, doi:<a href=\"https://doi.org/10.1086/587062\">10.1086/587062</a>.","apa":"De Cara, M., Barton, N. H., &#38; Kirkpatrick, M. (2008). A model for the evolution of assortative mating. <i>American Naturalist</i>. University of Chicago Press. <a href=\"https://doi.org/10.1086/587062\">https://doi.org/10.1086/587062</a>","short":"M. De Cara, N.H. Barton, M. Kirkpatrick, American Naturalist 171 (2008) 580–596.","chicago":"De Cara, Maria, Nicholas H Barton, and Mark Kirkpatrick. “A Model for the Evolution of Assortative Mating.” <i>American Naturalist</i>. University of Chicago Press, 2008. <a href=\"https://doi.org/10.1086/587062\">https://doi.org/10.1086/587062</a>.","ama":"De Cara M, Barton NH, Kirkpatrick M. A model for the evolution of assortative mating. <i>American Naturalist</i>. 2008;171(5):580-596. doi:<a href=\"https://doi.org/10.1086/587062\">10.1086/587062</a>"},"extern":1,"status":"public","type":"journal_article","title":"A model for the evolution of assortative mating"},{"doi":"10.1017/S0016672307009081","date_created":"2018-12-11T12:04:12Z","_id":"3606","page":"139 - 149","intvolume":"        90","quality_controlled":0,"publisher":"Cambridge University Press","extern":1,"citation":{"ista":"Barton NH. 2008. The effect of a barrier to gene flow on patterns of geographic variation. Genetical Research. 90(1), 139–149.","ieee":"N. H. Barton, “The effect of a barrier to gene flow on patterns of geographic variation,” <i>Genetical Research</i>, vol. 90, no. 1. Cambridge University Press, pp. 139–149, 2008.","apa":"Barton, N. H. (2008). The effect of a barrier to gene flow on patterns of geographic variation. <i>Genetical Research</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/S0016672307009081\">https://doi.org/10.1017/S0016672307009081</a>","mla":"Barton, Nicholas H. “The Effect of a Barrier to Gene Flow on Patterns of Geographic Variation.” <i>Genetical Research</i>, vol. 90, no. 1, Cambridge University Press, 2008, pp. 139–49, doi:<a href=\"https://doi.org/10.1017/S0016672307009081\">10.1017/S0016672307009081</a>.","short":"N.H. Barton, Genetical Research 90 (2008) 139–149.","ama":"Barton NH. The effect of a barrier to gene flow on patterns of geographic variation. <i>Genetical Research</i>. 2008;90(1):139-149. doi:<a href=\"https://doi.org/10.1017/S0016672307009081\">10.1017/S0016672307009081</a>","chicago":"Barton, Nicholas H. “The Effect of a Barrier to Gene Flow on Patterns of Geographic Variation.” <i>Genetical Research</i>. Cambridge University Press, 2008. <a href=\"https://doi.org/10.1017/S0016672307009081\">https://doi.org/10.1017/S0016672307009081</a>."},"title":"The effect of a barrier to gene flow on patterns of geographic variation","type":"journal_article","status":"public","month":"02","publication":"Genetical Research","day":"01","publist_id":"2777","year":"2008","publication_status":"published","date_updated":"2021-01-12T07:44:37Z","issue":"1","author":[{"full_name":"Nicholas Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8548-5240","last_name":"Barton","first_name":"Nicholas H"}],"volume":90,"abstract":[{"text":"Explicit formulae are given for the effects of a barrier to gene flow on random fluctuations in allele frequency; these formulae can also be seen as generating functions for the distribution of coalescence times. The formulae are derived using a continuous diffusion approximation, which is accurate over all but very small spatial scales. The continuous approximation is confirmed by comparison with the exact solution to the stepping stone model. In both one and two spatial dimensions, the variance of fluctuations in allele frequencies increases near the barrier; when the barrier is very strong, the variance doubles. However, the effect on fluctuations close to the barrier is much greater when the population is spread over two spatial dimensions than when it occupies a linear, one-dimensional habitat: barriers of strength comparable with the dispersal range (B≈σ) can have an appreciable effect in two dimensions, whereas only barriers with strength comparable with the characteristic scale (B\\! \\approx\\! L \\equals \\sigma \\sol \\sqrt {2 \\mu}\\hskip2) are significant in one dimension (μ is the rate of mutation or long-range dispersal). Thus, in a two-dimensional population, barriers to gene flow can be detected through their effect on the spatial pattern of genetic marker alleles.","lang":"eng"}],"date_published":"2008-02-01T00:00:00Z"},{"publist_id":"2671","day":"13","year":"2008","month":"04","date_updated":"2021-01-12T07:49:01Z","publication_status":"published","conference":{"name":"ICN: International Conference on Networking"},"abstract":[{"text":"Distributed Denial of Service (DDoS) attacks are today the most destabilizing factor in the global internet and there is a strong need for sophisticated solutions. We introduce a formal statistical framework and derive a Bayes optimal packet classifier from it. Our proposed practical algorithm &quot;Adaptive History-Based IP Filtering&quot; (AHIF) mitigates DDoS attacks near the victim and outperforms existing methods by at least 32% in terms of collateral damage. Furthermore, it adjusts to the strength of an ongoing attack and ensures availability of the attacked server. In contrast to other adaptive solutions, firewall rulesets used to resist an attack can be precalculated before an attack takes place. This ensures an immediate response in a DDoS emergency. For evaluation, simulated DDoS attacks and two real-world user traffic datasets are used.","lang":"eng"}],"date_published":"2008-04-13T00:00:00Z","author":[{"first_name":"Markus","last_name":"Goldstein","full_name":"Goldstein,Markus"},{"orcid":"0000-0001-8622-7887","last_name":"Lampert","first_name":"Christoph","full_name":"Christoph Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Matthias","last_name":"Reif","full_name":"Reif,Matthias"},{"last_name":"Stahl","first_name":"Armin","full_name":"Stahl,Armin"},{"first_name":"Thomas","last_name":"Breuel","full_name":"Breuel,Thomas M"}],"_id":"3694","page":"174 - 179","doi":"10.1109/ICN.2008.64","date_created":"2018-12-11T12:04:39Z","quality_controlled":0,"publisher":"IEEE","main_file_link":[{"open_access":"0","url":"http://pub.ist.ac.at/~chl/papers/goldstein-icn2008.pdf"}],"citation":{"mla":"Goldstein, Markus, et al. <i>Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering</i>. IEEE, 2008, pp. 174–79, doi:<a href=\"https://doi.org/10.1109/ICN.2008.64\">10.1109/ICN.2008.64</a>.","apa":"Goldstein, M., Lampert, C., Reif, M., Stahl, A., &#38; Breuel, T. (2008). Bayes optimal DDoS mitigation by adaptive history-based IP filtering (pp. 174–179). Presented at the ICN: International Conference on Networking, IEEE. <a href=\"https://doi.org/10.1109/ICN.2008.64\">https://doi.org/10.1109/ICN.2008.64</a>","short":"M. Goldstein, C. Lampert, M. Reif, A. Stahl, T. Breuel, in:, IEEE, 2008, pp. 174–179.","ama":"Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. In: IEEE; 2008:174-179. doi:<a href=\"https://doi.org/10.1109/ICN.2008.64\">10.1109/ICN.2008.64</a>","chicago":"Goldstein, Markus, Christoph Lampert, Matthias Reif, Armin Stahl, and Thomas Breuel. “Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering,” 174–79. IEEE, 2008. <a href=\"https://doi.org/10.1109/ICN.2008.64\">https://doi.org/10.1109/ICN.2008.64</a>.","ieee":"M. Goldstein, C. Lampert, M. Reif, A. Stahl, and T. Breuel, “Bayes optimal DDoS mitigation by adaptive history-based IP filtering,” presented at the ICN: International Conference on Networking, 2008, pp. 174–179.","ista":"Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. 2008. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. ICN: International Conference on Networking, 174–179."},"extern":1,"type":"conference","status":"public","title":"Bayes optimal DDoS mitigation by adaptive history-based IP filtering"},{"author":[{"full_name":"Blaschko,Matthew B","last_name":"Blaschko","first_name":"Matthew"},{"id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Christoph Lampert","orcid":"0000-0001-8622-7887","last_name":"Lampert","first_name":"Christoph"},{"full_name":"Gretton,Arthur","last_name":"Gretton","first_name":"Arthur"}],"date_published":"2008-10-21T00:00:00Z","volume":5211,"abstract":[{"lang":"eng","text":"Kernel canonical correlation analysis (KCCA) is a dimensionality reduction technique for paired data. By finding directions that maximize correlation, KCCA learns representations that are more closely tied to the underlying semantics of the data rather than noise. However, meaningful directions are not only those that have high correlation to another modality, but also those that capture the manifold structure of the data. We propose a method that is simultaneously able to find highly correlated directions that are also located on high variance directions along the data manifold. This is achieved by the use of semi-supervised Laplacian regularization of KCCA. We show experimentally that Laplacian regularized training improves class separation over KCCA with only Tikhonov regularization, while causing no degradation in the correlation between modalities. We propose a model selection criterion based on the Hilbert-Schmidt norm of the semi-supervised Laplacian regularized cross-covariance operator, which we compute in closed form."}],"alternative_title":["LNCS"],"issue":"Part 1","conference":{"name":"ECML: European Conference on Machine Learning"},"publication_status":"published","date_updated":"2021-01-12T07:49:02Z","month":"10","year":"2008","day":"21","publist_id":"2662","title":"Semi-supervised Laplacian regularization of kernel canonical correlation analysis","status":"public","type":"conference","extern":1,"citation":{"ieee":"M. Blaschko, C. Lampert, and A. Gretton, “Semi-supervised Laplacian regularization of kernel canonical correlation analysis,” presented at the ECML: European Conference on Machine Learning, 2008, vol. 5211, no. Part 1, pp. 133–145.","ista":"Blaschko M, Lampert C, Gretton A. 2008. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. ECML: European Conference on Machine Learning, LNCS, vol. 5211, 133–145.","ama":"Blaschko M, Lampert C, Gretton A. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. In: Vol 5211. Springer; 2008:133-145. doi:<a href=\"https://doi.org/10.1007/978-3-540-87479-9_27\">10.1007/978-3-540-87479-9_27</a>","short":"M. Blaschko, C. Lampert, A. Gretton, in:, Springer, 2008, pp. 133–145.","chicago":"Blaschko, Matthew, Christoph Lampert, and Arthur Gretton. “Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis,” 5211:133–45. Springer, 2008. <a href=\"https://doi.org/10.1007/978-3-540-87479-9_27\">https://doi.org/10.1007/978-3-540-87479-9_27</a>.","apa":"Blaschko, M., Lampert, C., &#38; Gretton, A. (2008). Semi-supervised Laplacian regularization of kernel canonical correlation analysis (Vol. 5211, pp. 133–145). Presented at the ECML: European Conference on Machine Learning, Springer. <a href=\"https://doi.org/10.1007/978-3-540-87479-9_27\">https://doi.org/10.1007/978-3-540-87479-9_27</a>","mla":"Blaschko, Matthew, et al. <i>Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis</i>. Vol. 5211, no. Part 1, Springer, 2008, pp. 133–45, doi:<a href=\"https://doi.org/10.1007/978-3-540-87479-9_27\">10.1007/978-3-540-87479-9_27</a>."},"publisher":"Springer","quality_controlled":0,"doi":"10.1007/978-3-540-87479-9_27","date_created":"2018-12-11T12:04:41Z","intvolume":"      5211","_id":"3698","page":"133 - 145"}]