[{"date_published":"2017-12-21T00:00:00Z","publication":"Physical Review E","citation":{"ista":"De Martino D. 2017. Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. 96(6), 060401.","apa":"De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.96.060401","ieee":"D. De Martino, “Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes,” Physical Review E, vol. 96, no. 6. American Physical Society, 2017.","ama":"De Martino D. Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. 2017;96(6). doi:10.1103/PhysRevE.96.060401","chicago":"De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E. American Physical Society, 2017. https://doi.org/10.1103/PhysRevE.96.060401.","mla":"De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E, vol. 96, no. 6, 060401, American Physical Society, 2017, doi:10.1103/PhysRevE.96.060401.","short":"D. De Martino, Physical Review E 96 (2017)."},"day":"21","article_processing_charge":"No","scopus_import":"1","oa_version":"Submitted Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"548","status":"public","title":"Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes","intvolume":" 96","abstract":[{"text":"In this work maximum entropy distributions in the space of steady states of metabolic networks are considered upon constraining the first and second moments of the growth rate. Coexistence of fast and slow phenotypes, with bimodal flux distributions, emerges upon considering control on the average growth (optimization) and its fluctuations (heterogeneity). This is applied to the carbon catabolic core of Escherichia coli where it quantifies the metabolic activity of slow growing phenotypes and it provides a quantitative map with metabolic fluxes, opening the possibility to detect coexistence from flux data. A preliminary analysis on data for E. coli cultures in standard conditions shows degeneracy for the inferred parameters that extend in the coexistence region.","lang":"eng"}],"issue":"6","type":"journal_article","alternative_title":["Rapid Communications"],"doi":"10.1103/PhysRevE.96.060401","language":[{"iso":"eng"}],"oa":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1707.00320"}],"quality_controlled":"1","project":[{"name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7","grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"month":"12","publication_identifier":{"issn":["2470-0045"]},"author":[{"full_name":"De Martino, Daniele","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5214-4706","first_name":"Daniele","last_name":"De Martino"}],"date_updated":"2023-10-10T13:29:38Z","date_created":"2018-12-11T11:47:06Z","volume":96,"year":"2017","publication_status":"published","department":[{"_id":"GaTk"}],"publisher":"American Physical Society","publist_id":"7266","ec_funded":1,"article_number":"060401"},{"month":"06","publication_identifier":{"issn":["0005-1098"]},"external_id":{"isi":["000403513900006"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"isi":1,"quality_controlled":"1","project":[{"grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme"}],"doi":"10.1016/j.automatica.2017.03.030","language":[{"iso":"eng"}],"file_date_updated":"2018-12-12T10:11:29Z","ec_funded":1,"publist_id":"6391","license":"https://creativecommons.org/licenses/by/4.0/","year":"2017","publication_status":"published","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"publisher":"International Federation of Automatic Control","author":[{"first_name":"Moritz","last_name":"Lang","id":"29E0800A-F248-11E8-B48F-1D18A9856A87","full_name":"Lang, Moritz"},{"first_name":"Eduardo","last_name":"Sontag","full_name":"Sontag, Eduardo"}],"date_updated":"2023-10-17T08:51:18Z","date_created":"2018-12-11T11:49:39Z","volume":"81C","scopus_import":"1","day":"01","article_processing_charge":"Yes (in subscription journal)","has_accepted_license":"1","publication":"Automatica","citation":{"mla":"Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.” Automatica, vol. 81C, International Federation of Automatic Control, 2017, pp. 46–55, doi:10.1016/j.automatica.2017.03.030.","short":"M. Lang, E. Sontag, Automatica 81C (2017) 46–55.","chicago":"Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.” Automatica. International Federation of Automatic Control, 2017. https://doi.org/10.1016/j.automatica.2017.03.030.","ama":"Lang M, Sontag E. Zeros of nonlinear systems with input invariances. Automatica. 2017;81C:46-55. doi:10.1016/j.automatica.2017.03.030","ista":"Lang M, Sontag E. 2017. Zeros of nonlinear systems with input invariances. Automatica. 81C, 46–55.","apa":"Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances. Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030","ieee":"M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,” Automatica, vol. 81C. International Federation of Automatic Control, pp. 46–55, 2017."},"page":"46 - 55","date_published":"2017-06-01T00:00:00Z","type":"journal_article","abstract":[{"lang":"eng","text":"A nonlinear system possesses an invariance with respect to a set of transformations if its output dynamics remain invariant when transforming the input, and adjusting the initial condition accordingly. Most research has focused on invariances with respect to time-independent pointwise transformations like translational-invariance (u(t) -> u(t) + p, p in R) or scale-invariance (u(t) -> pu(t), p in R>0). In this article, we introduce the concept of s0-invariances with respect to continuous input transformations exponentially growing/decaying over time. We show that s0-invariant systems not only encompass linear time-invariant (LTI) systems with transfer functions having an irreducible zero at s0 in R, but also that the input/output relationship of nonlinear s0-invariant systems possesses properties well known from their linear counterparts. Furthermore, we extend the concept of s0-invariances to second- and higher-order s0-invariances, corresponding to invariances with respect to transformations of the time-derivatives of the input, and encompassing LTI systems with zeros of multiplicity two or higher. Finally, we show that nth-order 0-invariant systems realize – under mild conditions – nth-order nonlinear differential operators: when excited by an input of a characteristic functional form, the system’s output converges to a constant value only depending on the nth (nonlinear) derivative of the input."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"1007","status":"public","ddc":["000"],"title":"Zeros of nonlinear systems with input invariances","pubrep_id":"813","oa_version":"Published Version","file":[{"file_id":"4884","relation":"main_file","date_created":"2018-12-12T10:11:29Z","date_updated":"2018-12-12T10:11:29Z","access_level":"open_access","file_name":"IST-2017-813-v1+1_ZerosOfNonlinearSystems.pdf","creator":"system","file_size":1401954,"content_type":"application/pdf"}]},{"_id":"5562","year":"2017","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GaTk"}],"ddc":["570"],"status":"public","title":"Multi-electrode array recording from salamander retinal ganglion cells","related_material":{"record":[{"id":"2257","status":"public","relation":"research_paper"}]},"author":[{"full_name":"Marre, Olivier","last_name":"Marre","first_name":"Olivier"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik","full_name":"Tkacik, Gasper"},{"full_name":"Amodei, Dario","last_name":"Amodei","first_name":"Dario"},{"full_name":"Schneidman, Elad","first_name":"Elad","last_name":"Schneidman"},{"first_name":"William","last_name":"Bialek","full_name":"Bialek, William"},{"last_name":"Berry","first_name":"Michael","full_name":"Berry, Michael"}],"file":[{"access_level":"open_access","file_name":"IST-2017-61-v1+1_bint_fishmovie32_100.mat","creator":"system","file_size":1336936,"content_type":"application/octet-stream","file_id":"5622","relation":"main_file","checksum":"e620eff260646f57b479a69492c8b765","date_created":"2018-12-12T13:03:04Z","date_updated":"2020-07-14T12:47:03Z"},{"relation":"main_file","file_id":"5623","checksum":"de83f9b81ea0aae3cddfc3ed982e0759","date_created":"2018-12-12T13:03:05Z","date_updated":"2020-07-14T12:47:03Z","access_level":"open_access","file_name":"IST-2017-61-v1+2_bint_fishmovie32_100.zip","content_type":"application/zip","file_size":1897543,"creator":"system"}],"oa_version":"Published Version","date_updated":"2024-02-21T13:46:14Z","date_created":"2018-12-12T12:31:33Z","type":"research_data","datarep_id":"61","abstract":[{"lang":"eng","text":"This data was collected as part of the study [1]. It consists of preprocessed multi-electrode array recording from 160 salamander retinal ganglion cells responding to 297 repeats of a 19 s natural movie. The data is available in two formats: (1) a .mat file containing an array with dimensions “number of repeats” x “number of neurons” x “time in a repeat”; (2) a zipped .txt file containing the same data represented as an array with dimensions “number of neurons” x “number of samples”, where the number of samples is equal to the product of the number of repeats and timebins within a repeat. The time dimension is divided into 20 ms time windows, and the array is binary indicating whether a given cell elicited at least one spike in a given time window during a particular repeat. See the reference below for details regarding collection and preprocessing:\r\n\r\n[1] Tkačik G, Marre O, Amodei D, Schneidman E, Bialek W, Berry MJ II. Searching for Collective Behavior in a Large Network of Sensory Neurons. PLoS Comput Biol. 2014;10(1):e1003408."}],"file_date_updated":"2020-07-14T12:47:03Z","license":"https://creativecommons.org/publicdomain/zero/1.0/","oa":1,"tmp":{"short":"CC0 (1.0)","image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)"},"citation":{"chicago":"Marre, Olivier, Gašper Tkačik, Dario Amodei, Elad Schneidman, William Bialek, and Michael Berry. “Multi-Electrode Array Recording from Salamander Retinal Ganglion Cells.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:61.","short":"O. Marre, G. Tkačik, D. Amodei, E. Schneidman, W. Bialek, M. Berry, (2017).","mla":"Marre, Olivier, et al. Multi-Electrode Array Recording from Salamander Retinal Ganglion Cells. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:61.","apa":"Marre, O., Tkačik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:61","ieee":"O. Marre, G. Tkačik, D. Amodei, E. Schneidman, W. Bialek, and M. Berry, “Multi-electrode array recording from salamander retinal ganglion cells.” Institute of Science and Technology Austria, 2017.","ista":"Marre O, Tkačik G, Amodei D, Schneidman E, Bialek W, Berry M. 2017. Multi-electrode array recording from salamander retinal ganglion cells, Institute of Science and Technology Austria, 10.15479/AT:ISTA:61.","ama":"Marre O, Tkačik G, Amodei D, Schneidman E, Bialek W, Berry M. Multi-electrode array recording from salamander retinal ganglion cells. 2017. doi:10.15479/AT:ISTA:61"},"date_published":"2017-02-27T00:00:00Z","doi":"10.15479/AT:ISTA:61","keyword":["multi-electrode recording","retinal ganglion cells"],"article_processing_charge":"No","has_accepted_license":"1","day":"27","month":"02"},{"abstract":[{"text":"This repository contains the data collected for the manuscript \"Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity\".\r\nThe data is compressed into a single archive. Within the archive, different folders correspond to figures of the main text and the SI of the related publication.\r\nData is saved as plain text, with each folder containing a separate readme file describing the format. Typically, the data is from fluorescence microscopy measurements of single cells growing in a microfluidic \"mother machine\" device, and consists of relevant values (primarily arbitrary unit or normalized fluorescence measurements, and division times / growth rates) after raw microscopy images have been processed, segmented, and their features extracted, as described in the methods section of the related publication.","lang":"eng"}],"file_date_updated":"2020-07-14T12:47:03Z","datarep_id":"53","type":"research_data","date_updated":"2024-02-21T13:49:00Z","date_created":"2018-12-12T12:31:32Z","file":[{"checksum":"d77859af757ac8025c50c7b12b52eaf3","date_updated":"2020-07-14T12:47:03Z","date_created":"2018-12-12T13:02:38Z","relation":"main_file","file_id":"5603","content_type":"application/zip","file_size":6773204,"creator":"system","access_level":"open_access","file_name":"IST-2017-53-v1+1_Data_MDE.zip"}],"oa_version":"Published Version","author":[{"first_name":"Tobias","last_name":"Bergmiller","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5396-4346","full_name":"Bergmiller, Tobias"},{"id":"2B8A40DA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2912-6769","first_name":"Anna M","last_name":"Andersson","full_name":"Andersson, Anna M"},{"orcid":"0000-0003-3768-877X","id":"3AEC8556-F248-11E8-B48F-1D18A9856A87","last_name":"Tomasek","first_name":"Kathrin","full_name":"Tomasek, Kathrin"},{"first_name":"Enrique","last_name":"Balleza","full_name":"Balleza, Enrique"},{"full_name":"Kiviet, Daniel","last_name":"Kiviet","first_name":"Daniel"},{"last_name":"Hauschild","first_name":"Robert","orcid":"0000-0001-9843-3522","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","full_name":"Hauschild, Robert"},{"first_name":"Gasper","last_name":"Tkacik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","full_name":"Tkacik, Gasper"},{"full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052","id":"47F8433E-F248-11E8-B48F-1D18A9856A87","last_name":"Guet","first_name":"Calin C"}],"related_material":{"record":[{"status":"public","relation":"research_paper","id":"665"}]},"ddc":["571"],"status":"public","title":"Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity","publisher":"Institute of Science and Technology Austria","department":[{"_id":"CaGu"},{"_id":"GaTk"},{"_id":"Bio"}],"_id":"5560","year":"2017","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"03","day":"10","article_processing_charge":"No","has_accepted_license":"1","keyword":["single cell microscopy","mother machine microfluidic device","AcrAB-TolC pump","multi-drug efflux","Escherichia coli"],"date_published":"2017-03-10T00:00:00Z","doi":"10.15479/AT:ISTA:53","citation":{"chicago":"Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza, Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:53.","short":"T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild, G. Tkačik, C.C. Guet, (2017).","mla":"Bergmiller, Tobias, et al. Biased Partitioning of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:53.","ieee":"T. Bergmiller et al., “Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.” Institute of Science and Technology Austria, 2017.","apa":"Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:53","ista":"Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik G, Guet CC. 2017. Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity, Institute of Science and Technology Austria, 10.15479/AT:ISTA:53.","ama":"Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. 2017. doi:10.15479/AT:ISTA:53"},"tmp":{"short":"CC0 (1.0)","image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)"},"oa":1},{"publist_id":"7064","related_material":{"record":[{"status":"public","relation":"popular_science","id":"5560"}]},"author":[{"first_name":"Tobias","last_name":"Bergmiller","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5396-4346","full_name":"Bergmiller, Tobias"},{"full_name":"Andersson, Anna M","last_name":"Andersson","first_name":"Anna M","orcid":"0000-0003-2912-6769","id":"2B8A40DA-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Kathrin","last_name":"Tomasek","id":"3AEC8556-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3768-877X","full_name":"Tomasek, Kathrin"},{"full_name":"Balleza, Enrique","last_name":"Balleza","first_name":"Enrique"},{"full_name":"Kiviet, Daniel","first_name":"Daniel","last_name":"Kiviet"},{"id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9843-3522","first_name":"Robert","last_name":"Hauschild","full_name":"Hauschild, Robert"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik","full_name":"Tkacik, Gasper"},{"full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052","id":"47F8433E-F248-11E8-B48F-1D18A9856A87","last_name":"Guet","first_name":"Calin C"}],"volume":356,"date_updated":"2024-02-21T13:49:00Z","date_created":"2018-12-11T11:47:48Z","year":"2017","department":[{"_id":"CaGu"},{"_id":"GaTk"},{"_id":"Bio"}],"publisher":"American Association for the Advancement of Science","publication_status":"published","publication_identifier":{"issn":["00368075"]},"month":"04","doi":"10.1126/science.aaf4762","language":[{"iso":"eng"}],"project":[{"_id":"254E9036-B435-11E9-9278-68D0E5697425","grant_number":"P28844-B27","call_identifier":"FWF","name":"Biophysics of information processing in gene regulation"}],"quality_controlled":"1","issue":"6335","abstract":[{"lang":"eng","text":"The molecular mechanisms underlying phenotypic variation in isogenic bacterial populations remain poorly understood.We report that AcrAB-TolC, the main multidrug efflux pump of Escherichia coli, exhibits a strong partitioning bias for old cell poles by a segregation mechanism that is mediated by ternary AcrAB-TolC complex formation. Mother cells inheriting old poles are phenotypically distinct and display increased drug efflux activity relative to daughters. Consequently, we find systematic and long-lived growth differences between mother and daughter cells in the presence of subinhibitory drug concentrations. A simple model for biased partitioning predicts a population structure of long-lived and highly heterogeneous phenotypes. This straightforward mechanism of generating sustained growth rate differences at subinhibitory antibiotic concentrations has implications for understanding the emergence of multidrug resistance in bacteria."}],"type":"journal_article","oa_version":"None","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"665","intvolume":" 356","title":"Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity","status":"public","article_processing_charge":"No","day":"21","scopus_import":1,"date_published":"2017-04-21T00:00:00Z","citation":{"ista":"Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik G, Guet CC. 2017. Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science. 356(6335), 311–315.","apa":"Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf4762","ieee":"T. Bergmiller et al., “Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity,” Science, vol. 356, no. 6335. American Association for the Advancement of Science, pp. 311–315, 2017.","ama":"Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science. 2017;356(6335):311-315. doi:10.1126/science.aaf4762","chicago":"Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza, Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.” Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aaf4762.","mla":"Bergmiller, Tobias, et al. “Biased Partitioning of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.” Science, vol. 356, no. 6335, American Association for the Advancement of Science, 2017, pp. 311–15, doi:10.1126/science.aaf4762.","short":"T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild, G. Tkačik, C.C. Guet, Science 356 (2017) 311–315."},"publication":"Science","page":"311 - 315","article_type":"original"},{"month":"10","publication_identifier":{"issn":["15345807"]},"external_id":{"isi":["000413443700011"]},"quality_controlled":"1","isi":1,"project":[{"call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734"},{"_id":"252DD2A6-B435-11E9-9278-68D0E5697425","grant_number":"I2058","name":"Cell segregation in gastrulation: the role of cell fate specification","call_identifier":"FWF"}],"doi":"10.1016/j.devcel.2017.09.014","language":[{"iso":"eng"}],"ec_funded":1,"publist_id":"6934","year":"2017","publication_status":"published","department":[{"_id":"CaHe"},{"_id":"CaGu"},{"_id":"GaTk"}],"publisher":"Cell Press","author":[{"full_name":"Barone, Vanessa","orcid":"0000-0003-2676-3367","id":"419EECCC-F248-11E8-B48F-1D18A9856A87","last_name":"Barone","first_name":"Vanessa"},{"id":"29E0800A-F248-11E8-B48F-1D18A9856A87","first_name":"Moritz","last_name":"Lang","full_name":"Lang, Moritz"},{"full_name":"Krens, Gabriel","id":"2B819732-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4761-5996","first_name":"Gabriel","last_name":"Krens"},{"full_name":"Pradhan, Saurabh","last_name":"Pradhan","first_name":"Saurabh"},{"full_name":"Shamipour, Shayan","id":"40B34FE2-F248-11E8-B48F-1D18A9856A87","last_name":"Shamipour","first_name":"Shayan"},{"first_name":"Keisuke","last_name":"Sako","id":"3BED66BE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6453-8075","full_name":"Sako, Keisuke"},{"first_name":"Mateusz K","last_name":"Sikora","id":"2F74BCDE-F248-11E8-B48F-1D18A9856A87","full_name":"Sikora, Mateusz K"},{"full_name":"Guet, Calin C","last_name":"Guet","first_name":"Calin C","orcid":"0000-0001-6220-2052","id":"47F8433E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Heisenberg, Carl-Philipp J","first_name":"Carl-Philipp J","last_name":"Heisenberg","id":"39427864-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-0912-4566"}],"related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"961"},{"status":"public","relation":"dissertation_contains","id":"8350"}]},"date_updated":"2024-03-28T23:30:39Z","date_created":"2018-12-11T11:48:13Z","volume":43,"scopus_import":"1","day":"23","article_processing_charge":"No","publication":"Developmental Cell","citation":{"ama":"Barone V, Lang M, Krens G, et al. An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell. 2017;43(2):198-211. doi:10.1016/j.devcel.2017.09.014","ista":"Barone V, Lang M, Krens G, Pradhan S, Shamipour S, Sako K, Sikora MK, Guet CC, Heisenberg C-PJ. 2017. An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell. 43(2), 198–211.","ieee":"V. Barone et al., “An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate,” Developmental Cell, vol. 43, no. 2. Cell Press, pp. 198–211, 2017.","apa":"Barone, V., Lang, M., Krens, G., Pradhan, S., Shamipour, S., Sako, K., … Heisenberg, C.-P. J. (2017). An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell. Cell Press. https://doi.org/10.1016/j.devcel.2017.09.014","mla":"Barone, Vanessa, et al. “An Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling Determines Cell Fate.” Developmental Cell, vol. 43, no. 2, Cell Press, 2017, pp. 198–211, doi:10.1016/j.devcel.2017.09.014.","short":"V. Barone, M. Lang, G. Krens, S. Pradhan, S. Shamipour, K. Sako, M.K. Sikora, C.C. Guet, C.-P.J. Heisenberg, Developmental Cell 43 (2017) 198–211.","chicago":"Barone, Vanessa, Moritz Lang, Gabriel Krens, Saurabh Pradhan, Shayan Shamipour, Keisuke Sako, Mateusz K Sikora, Calin C Guet, and Carl-Philipp J Heisenberg. “An Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling Determines Cell Fate.” Developmental Cell. Cell Press, 2017. https://doi.org/10.1016/j.devcel.2017.09.014."},"page":"198 - 211","date_published":"2017-10-23T00:00:00Z","type":"journal_article","abstract":[{"text":"Cell-cell contact formation constitutes an essential step in evolution, leading to the differentiation of specialized cell types. However, remarkably little is known about whether and how the interplay between contact formation and fate specification affects development. Here, we identify a positive feedback loop between cell-cell contact duration, morphogen signaling, and mesendoderm cell-fate specification during zebrafish gastrulation. We show that long-lasting cell-cell contacts enhance the competence of prechordal plate (ppl) progenitor cells to respond to Nodal signaling, required for ppl cell-fate specification. We further show that Nodal signaling promotes ppl cell-cell contact duration, generating a positive feedback loop between ppl cell-cell contact duration and cell-fate specification. Finally, by combining mathematical modeling and experimentation, we show that this feedback determines whether anterior axial mesendoderm cells become ppl or, instead, turn into endoderm. Thus, the interdependent activities of cell-cell signaling and contact formation control fate diversification within the developing embryo.","lang":"eng"}],"issue":"2","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"735","status":"public","title":"An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate","intvolume":" 43","oa_version":"None"},{"_id":"1082","year":"2016","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication_status":"published","status":"public","title":"Relevant sparse codes with variational information bottleneck","publisher":"Neural Information Processing Systems","department":[{"_id":"GaTk"}],"intvolume":" 29","author":[{"orcid":"0000-0001-7782-4436","id":"2BAAC544-F248-11E8-B48F-1D18A9856A87","last_name":"Chalk","first_name":"Matthew J","full_name":"Chalk, Matthew J"},{"full_name":"Marre, Olivier","last_name":"Marre","first_name":"Olivier"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik","full_name":"Tkacik, Gasper"}],"related_material":{"link":[{"url":"https://papers.nips.cc/paper/6101-relevant-sparse-codes-with-variational-information-bottleneck","relation":"other"}]},"date_updated":"2021-01-12T06:48:09Z","date_created":"2018-12-11T11:50:03Z","oa_version":"Preprint","volume":29,"type":"conference","alternative_title":["Advances in Neural Information Processing Systems"],"abstract":[{"lang":"eng","text":"In many applications, it is desirable to extract only the relevant aspects of data. A principled way to do this is the information bottleneck (IB) method, where one seeks a code that maximises information about a relevance variable, Y, while constraining the information encoded about the original data, X. Unfortunately however, the IB method is computationally demanding when data are high-dimensional and/or non-gaussian. Here we propose an approximate variational scheme for maximising a lower bound on the IB objective, analogous to variational EM. Using this method, we derive an IB algorithm to recover features that are both relevant and sparse. Finally, we demonstrate how kernelised versions of the algorithm can be used to address a broad range of problems with non-linear relation between X and Y."}],"publist_id":"6298","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1605.07332"}],"oa":1,"citation":{"ama":"Chalk MJ, Marre O, Tkačik G. Relevant sparse codes with variational information bottleneck. In: Vol 29. Neural Information Processing Systems; 2016:1965-1973.","ista":"Chalk MJ, Marre O, Tkačik G. 2016. Relevant sparse codes with variational information bottleneck. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 29, 1965–1973.","apa":"Chalk, M. J., Marre, O., & Tkačik, G. (2016). Relevant sparse codes with variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information Processing Systems.","ieee":"M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational information bottleneck,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.","mla":"Chalk, Matthew J., et al. Relevant Sparse Codes with Variational Information Bottleneck. Vol. 29, Neural Information Processing Systems, 2016, pp. 1965–73.","short":"M.J. Chalk, O. Marre, G. Tkačik, in:, Neural Information Processing Systems, 2016, pp. 1965–1973.","chicago":"Chalk, Matthew J, Olivier Marre, and Gašper Tkačik. “Relevant Sparse Codes with Variational Information Bottleneck,” 29:1965–73. Neural Information Processing Systems, 2016."},"quality_controlled":"1","page":"1965-1973","conference":{"end_date":"2016-12-10","start_date":"2016-12-05","location":"Barcelona, Spain","name":"NIPS: Neural Information Processing Systems"},"date_published":"2016-12-01T00:00:00Z","language":[{"iso":"eng"}],"scopus_import":1,"month":"12","day":"01"},{"language":[{"iso":"eng"}],"conference":{"start_date":"2016-12-05","location":"Barcelona; Spain","end_date":"2016-12-10","name":"NIPS: Neural Information Processing Systems"},"project":[{"call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734"}],"quality_controlled":"1","main_file_link":[{"url":"http://papers.nips.cc/paper/6153-estimating-nonlinear-neural-response-functions-using-gp-priors-and-kronecker-methods"}],"month":"12","volume":29,"date_updated":"2021-01-12T06:48:19Z","date_created":"2018-12-11T11:50:10Z","author":[{"full_name":"Savin, Cristina","last_name":"Savin","first_name":"Cristina","id":"3933349E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Gasper","last_name":"Tkacik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","full_name":"Tkacik, Gasper"}],"department":[{"_id":"GaTk"}],"publisher":"Neural Information Processing Systems","publication_status":"published","year":"2016","acknowledgement":"We thank Jozsef Csicsvari for kindly sharing the CA1 data.\r\nThis work was supported by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme(FP7/2007-2013) under REA grant agreement no. 291734.","publist_id":"6265","ec_funded":1,"date_published":"2016-12-01T00:00:00Z","page":"3610-3618","citation":{"chicago":"Savin, Cristina, and Gašper Tkačik. “Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods,” 29:3610–18. Neural Information Processing Systems, 2016.","short":"C. Savin, G. Tkačik, in:, Neural Information Processing Systems, 2016, pp. 3610–3618.","mla":"Savin, Cristina, and Gašper Tkačik. Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods. Vol. 29, Neural Information Processing Systems, 2016, pp. 3610–18.","apa":"Savin, C., & Tkačik, G. (2016). Estimating nonlinear neural response functions using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information Processing Systems.","ieee":"C. Savin and G. Tkačik, “Estimating nonlinear neural response functions using GP priors and Kronecker methods,” presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain, 2016, vol. 29, pp. 3610–3618.","ista":"Savin C, Tkačik G. 2016. Estimating nonlinear neural response functions using GP priors and Kronecker methods. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 29, 3610–3618.","ama":"Savin C, Tkačik G. Estimating nonlinear neural response functions using GP priors and Kronecker methods. In: Vol 29. Neural Information Processing Systems; 2016:3610-3618."},"day":"01","scopus_import":1,"oa_version":"None","intvolume":" 29","title":"Estimating nonlinear neural response functions using GP priors and Kronecker methods","status":"public","_id":"1105","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","abstract":[{"text":"Jointly characterizing neural responses in terms of several external variables promises novel insights into circuit function, but remains computationally prohibitive in practice. Here we use gaussian process (GP) priors and exploit recent advances in fast GP inference and learning based on Kronecker methods, to efficiently estimate multidimensional nonlinear tuning functions. Our estimator require considerably less data than traditional methods and further provides principled uncertainty estimates. We apply these tools to hippocampal recordings during open field exploration and use them to characterize the joint dependence of CA1 responses on the position of the animal and several other variables, including the animal\\'s speed, direction of motion, and network oscillations.Our results provide an unprecedentedly detailed quantification of the tuning of hippocampal neurons. The model\\'s generality suggests that our approach can be used to estimate neural response properties in other brain regions.","lang":"eng"}],"alternative_title":["Advances in Neural Information Processing Systems"],"type":"conference"},{"publist_id":"6186","file_date_updated":"2020-07-14T12:44:37Z","volume":38,"date_created":"2018-12-11T11:50:31Z","date_updated":"2021-01-12T06:48:49Z","author":[{"id":"29E0800A-F248-11E8-B48F-1D18A9856A87","first_name":"Moritz","last_name":"Lang","full_name":"Lang, Moritz"},{"last_name":"Stelling","first_name":"Jörg","full_name":"Stelling, Jörg"}],"department":[{"_id":"CaGu"},{"_id":"GaTk"}],"publisher":"Society for Industrial and Applied Mathematics ","publication_status":"published","year":"2016","month":"11","language":[{"iso":"eng"}],"doi":"10.1137/15M103306X","quality_controlled":"1","issue":"6","abstract":[{"lang":"eng","text":"The increasing complexity of dynamic models in systems and synthetic biology poses computational challenges especially for the identification of model parameters. While modularization of the corresponding optimization problems could help reduce the “curse of dimensionality,” abundant feedback and crosstalk mechanisms prohibit a simple decomposition of most biomolecular networks into subnetworks, or modules. Drawing on ideas from network modularization and multiple-shooting optimization, we present here a modular parameter identification approach that explicitly allows for such interdependencies. Interfaces between our modules are given by the experimentally measured molecular species. This definition allows deriving good (initial) estimates for the inter-module communication directly from the experimental data. Given these estimates, the states and parameter sensitivities of different modules can be integrated independently. To achieve consistency between modules, we iteratively adjust the estimates for inter-module communication while optimizing the parameters. After convergence to an optimal parameter set---but not during earlier iterations---the intermodule communication as well as the individual modules\\' state dynamics agree with the dynamics of the nonmodularized network. Our modular parameter identification approach allows for easy parallelization; it can reduce the computational complexity for larger networks and decrease the probability to converge to suboptimal local minima. We demonstrate the algorithm\\'s performance in parameter estimation for two biomolecular networks, a synthetic genetic oscillator and a mammalian signaling pathway."}],"type":"journal_article","oa_version":"Submitted Version","file":[{"creator":"system","content_type":"application/pdf","file_size":871964,"access_level":"local","file_name":"IST-2017-811-v1+1_modular_parameter_identification.pdf","checksum":"781bc3ffd30b2dd65b7727c5a285fc78","date_updated":"2020-07-14T12:44:37Z","date_created":"2018-12-12T10:14:41Z","file_id":"5095","relation":"main_file"}],"pubrep_id":"811","intvolume":" 38","ddc":["003","518","570","621"],"status":"public","title":"Modular parameter identification of biomolecular networks","_id":"1170","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","has_accepted_license":"1","day":"15","scopus_import":1,"date_published":"2016-11-15T00:00:00Z","page":"B988 - B1008","citation":{"chicago":"Lang, Moritz, and Jörg Stelling. “Modular Parameter Identification of Biomolecular Networks.” SIAM Journal on Scientific Computing. Society for Industrial and Applied Mathematics , 2016. https://doi.org/10.1137/15M103306X.","short":"M. Lang, J. Stelling, SIAM Journal on Scientific Computing 38 (2016) B988–B1008.","mla":"Lang, Moritz, and Jörg Stelling. “Modular Parameter Identification of Biomolecular Networks.” SIAM Journal on Scientific Computing, vol. 38, no. 6, Society for Industrial and Applied Mathematics , 2016, pp. B988–1008, doi:10.1137/15M103306X.","apa":"Lang, M., & Stelling, J. (2016). Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing. Society for Industrial and Applied Mathematics . https://doi.org/10.1137/15M103306X","ieee":"M. Lang and J. Stelling, “Modular parameter identification of biomolecular networks,” SIAM Journal on Scientific Computing, vol. 38, no. 6. Society for Industrial and Applied Mathematics , pp. B988–B1008, 2016.","ista":"Lang M, Stelling J. 2016. Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing. 38(6), B988–B1008.","ama":"Lang M, Stelling J. Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing. 2016;38(6):B988-B1008. doi:10.1137/15M103306X"},"publication":"SIAM Journal on Scientific Computing"},{"publist_id":"6185","type":"journal_article","author":[{"orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkacik","first_name":"Gasper","full_name":"Tkacik, Gasper"}],"date_updated":"2021-01-12T06:48:50Z","date_created":"2018-12-11T11:50:32Z","oa_version":"None","volume":17,"_id":"1171","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","status":"public","title":"Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al.","publication_status":"published","publisher":"Elsevier","department":[{"_id":"GaTk"}],"intvolume":" 17","month":"07","day":"01","scopus_import":1,"date_published":"2016-07-01T00:00:00Z","doi":"10.1016/j.plrev.2016.06.005","language":[{"iso":"eng"}],"publication":"Physics of Life Reviews","citation":{"ama":"Tkačik G. Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al. Physics of Life Reviews. 2016;17:166-167. doi:10.1016/j.plrev.2016.06.005","ista":"Tkačik G. 2016. Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al. Physics of Life Reviews. 17, 166–167.","apa":"Tkačik, G. (2016). Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al. Physics of Life Reviews. Elsevier. https://doi.org/10.1016/j.plrev.2016.06.005","ieee":"G. Tkačik, “Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al.,” Physics of Life Reviews, vol. 17. Elsevier, pp. 166–167, 2016.","mla":"Tkačik, Gašper. “Understanding Regulatory Networks Requires More than Computing a Multitude of Graph Statistics: Comment on "Drivers of Structural Features in Gene Regulatory Networks: From Biophysical Constraints to Biological Function" by O. C. Martin et Al.” Physics of Life Reviews, vol. 17, Elsevier, 2016, pp. 166–67, doi:10.1016/j.plrev.2016.06.005.","short":"G. Tkačik, Physics of Life Reviews 17 (2016) 166–167.","chicago":"Tkačik, Gašper. “Understanding Regulatory Networks Requires More than Computing a Multitude of Graph Statistics: Comment on "Drivers of Structural Features in Gene Regulatory Networks: From Biophysical Constraints to Biological Function" by O. C. Martin et Al.” Physics of Life Reviews. Elsevier, 2016. https://doi.org/10.1016/j.plrev.2016.06.005."},"quality_controlled":"1","page":"166 - 167"},{"issue":"12","abstract":[{"lang":"eng","text":"We consider a population dynamics model coupling cell growth to a diffusion in the space of metabolic phenotypes as it can be obtained from realistic constraints-based modelling. \r\nIn the asymptotic regime of slow\r\ndiffusion, that coincides with the relevant experimental range, the resulting\r\nnon-linear Fokker–Planck equation is solved for the steady state in the WKB\r\napproximation that maps it into the ground state of a quantum particle in an\r\nAiry potential plus a centrifugal term. We retrieve scaling laws for growth rate\r\nfluctuations and time response with respect to the distance from the maximum\r\ngrowth rate suggesting that suboptimal populations can have a faster response\r\nto perturbations."}],"type":"journal_article","oa_version":"Preprint","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"1188","intvolume":" 2016","status":"public","title":"Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth","day":"30","scopus_import":1,"date_published":"2016-12-30T00:00:00Z","citation":{"apa":"De Martino, D., & Masoero, D. (2016). Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment. IOPscience. https://doi.org/10.1088/1742-5468/aa4e8f","ieee":"D. De Martino and D. Masoero, “Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12. IOPscience, 2016.","ista":"De Martino D, Masoero D. 2016. Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment. 2016(12), 123502.","ama":"De Martino D, Masoero D. Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment. 2016;2016(12). doi:10.1088/1742-5468/aa4e8f","chicago":"De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment. IOPscience, 2016. https://doi.org/10.1088/1742-5468/aa4e8f.","short":"D. De Martino, D. Masoero, Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).","mla":"De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12, 123502, IOPscience, 2016, doi:10.1088/1742-5468/aa4e8f."},"publication":" Journal of Statistical Mechanics: Theory and Experiment","publist_id":"6165","ec_funded":1,"article_number":"123502","author":[{"full_name":"De Martino, Daniele","last_name":"De Martino","first_name":"Daniele","orcid":"0000-0002-5214-4706","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Davide","last_name":"Masoero","full_name":"Masoero, Davide"}],"volume":2016,"date_created":"2018-12-11T11:50:37Z","date_updated":"2021-01-12T06:48:57Z","year":"2016","acknowledgement":"D De Martino is supported by the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007–2013) under REA grant agreement no. [291734]. D Masoero is supported by the FCT scholarship, number SFRH/BPD/75908/2011. D De Martino thanks the Grupo de Física Matemática of the Universidade de Lisboa for the kind hospitality. We also wish to thank Matteo Osella, Vincenzo Vitagliano and Vera Luz Masoero for useful discussions, also late at night.","publisher":"IOPscience","department":[{"_id":"GaTk"}],"publication_status":"published","month":"12","doi":"10.1088/1742-5468/aa4e8f","language":[{"iso":"eng"}],"oa":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1606.09048"}],"project":[{"grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425","name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7"}],"quality_controlled":"1"},{"date_published":"2016-12-01T00:00:00Z","citation":{"ama":"Hu F, Rishishwar L, Sivadas A, et al. Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology. 2016;54(12):3010-3017. doi:10.1128/JCM.01511-16","ieee":"F. Hu et al., “Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination,” Journal of Clinical Microbiology, vol. 54, no. 12. American Society for Microbiology, pp. 3010–3017, 2016.","apa":"Hu, F., Rishishwar, L., Sivadas, A., Mitchell, G., King, J., Murphy, T., … Wang, X. (2016). Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology. American Society for Microbiology. https://doi.org/10.1128/JCM.01511-16","ista":"Hu F, Rishishwar L, Sivadas A, Mitchell G, King J, Murphy T, Gilsdorf J, Mayer L, Wang X. 2016. Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology. 54(12), 3010–3017.","short":"F. Hu, L. Rishishwar, A. Sivadas, G. Mitchell, J. King, T. Murphy, J. Gilsdorf, L. Mayer, X. Wang, Journal of Clinical Microbiology 54 (2016) 3010–3017.","mla":"Hu, Fang, et al. “Comparative Genomic Analysis of Haemophilus Haemolyticus and Nontypeable Haemophilus Influenzae and a New Testing Scheme for Their Discrimination.” Journal of Clinical Microbiology, vol. 54, no. 12, American Society for Microbiology, 2016, pp. 3010–17, doi:10.1128/JCM.01511-16.","chicago":"Hu, Fang, Lavanya Rishishwar, Ambily Sivadas, Gabriel Mitchell, Jordan King, Timothy Murphy, Janet Gilsdorf, Leonard Mayer, and Xin Wang. “Comparative Genomic Analysis of Haemophilus Haemolyticus and Nontypeable Haemophilus Influenzae and a New Testing Scheme for Their Discrimination.” Journal of Clinical Microbiology. American Society for Microbiology, 2016. https://doi.org/10.1128/JCM.01511-16."},"publication":"Journal of Clinical Microbiology","page":"3010 - 3017","day":"01","scopus_import":1,"oa_version":"Submitted Version","_id":"1203","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","intvolume":" 54","status":"public","title":"Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination","issue":"12","abstract":[{"text":"Haemophilus haemolyticus has been recently discovered to have the potential to cause invasive disease. It is closely related to nontypeable Haemophilus influenzae (NT H. influenzae). NT H. influenzae and H. haemolyticus are often misidentified because none of the existing tests targeting the known phenotypes of H. haemolyticus are able to specifically identify H. haemolyticus. Through comparative genomic analysis of H. haemolyticus and NT H. influenzae, we identified genes unique to H. haemolyticus that can be used as targets for the identification of H. haemolyticus. A real-time PCR targeting purT (encoding phosphoribosylglycinamide formyltransferase 2 in the purine synthesis pathway) was developed and evaluated. The lower limit of detection was 40 genomes/PCR; the sensitivity and specificity in detecting H. haemolyticus were 98.9% and 97%, respectively. To improve the discrimination of H. haemolyticus and NT H. influenzae, a testing scheme combining two targets (H. haemolyticus purT and H. influenzae hpd, encoding protein D lipoprotein) was also evaluated and showed 96.7% sensitivity and 98.2% specificity for the identification of H. haemolyticus and 92.8% sensitivity and 100% specificity for the identification of H. influenzae, respectively. The dual-target testing scheme can be used for the diagnosis and surveillance of infection and disease caused by H. haemolyticus and NT H. influenzae.","lang":"eng"}],"type":"journal_article","doi":"10.1128/JCM.01511-16","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121393/"}],"oa":1,"quality_controlled":"1","month":"12","author":[{"last_name":"Hu","first_name":"Fang","full_name":"Hu, Fang"},{"last_name":"Rishishwar","first_name":"Lavanya","full_name":"Rishishwar, Lavanya"},{"full_name":"Sivadas, Ambily","first_name":"Ambily","last_name":"Sivadas"},{"id":"315BCD80-F248-11E8-B48F-1D18A9856A87","last_name":"Mitchell","first_name":"Gabriel","full_name":"Mitchell, Gabriel"},{"full_name":"King, Jordan","first_name":"Jordan","last_name":"King"},{"full_name":"Murphy, Timothy","first_name":"Timothy","last_name":"Murphy"},{"full_name":"Gilsdorf, Janet","last_name":"Gilsdorf","first_name":"Janet"},{"last_name":"Mayer","first_name":"Leonard","full_name":"Mayer, Leonard"},{"first_name":"Xin","last_name":"Wang","full_name":"Wang, Xin"}],"volume":54,"date_updated":"2021-01-12T06:49:04Z","date_created":"2018-12-11T11:50:41Z","acknowledgement":"We are grateful to ABCs for providing strains and the Bacterial Meningitis Laboratory for technical support.","year":"2016","department":[{"_id":"GaTk"}],"publisher":"American Society for Microbiology","publication_status":"published","publist_id":"6146"},{"author":[{"full_name":"Martius, Georg S","id":"3A276B68-F248-11E8-B48F-1D18A9856A87","first_name":"Georg S","last_name":"Martius"},{"last_name":"Hostettler","first_name":"Raphael","full_name":"Hostettler, Raphael"},{"last_name":"Knoll","first_name":"Alois","full_name":"Knoll, Alois"},{"last_name":"Der","first_name":"Ralf","full_name":"Der, Ralf"}],"volume":"2016-November","oa_version":"None","date_created":"2018-12-11T11:50:45Z","date_updated":"2021-01-12T06:49:08Z","_id":"1214","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","acknowledgement":"RD thanks for the hospitality at the Max-Planck-Institute and for helpful discussions with Nihat Ay and Keyan Zahedi.","year":"2016","publisher":"IEEE","department":[{"_id":"ChLa"},{"_id":"GaTk"}],"status":"public","title":"Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm","publication_status":"published","publist_id":"6121","abstract":[{"lang":"eng","text":"With the accelerated development of robot technologies, optimal control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of the history of sensor values, guided by the goals, intentions, objectives, learning schemes, and so forth. While very successful with classical robots, these methods run into severe difficulties when applied to soft robots, a new field of robotics with large interest for human-robot interaction. We claim that a novel controller paradigm opens new perspective for this field. This paper applies a recently developed neuro controller with differential extrinsic synaptic plasticity to a muscle-tendon driven arm-shoulder system from the Myorobotics toolkit. In the experiments, we observe a vast variety of self-organized behavior patterns: when left alone, the arm realizes pseudo-random sequences of different poses. By applying physical forces, the system can be entrained into definite motion patterns like wiping a table. Most interestingly, after attaching an object, the controller gets in a functional resonance with the object's internal dynamics, starting to shake spontaneously bottles half-filled with water or sensitively driving an attached pendulum into a circular mode. When attached to the crank of a wheel the neural system independently develops to rotate it. In this way, the robot discovers affordances of objects its body is interacting with."}],"type":"conference","article_number":"7759138","date_published":"2016-11-28T00:00:00Z","doi":"10.1109/IROS.2016.7759138","conference":{"location":"Daejeon, Korea","start_date":"2016-09-09","end_date":"2016-09-14","name":"IEEE RSJ International Conference on Intelligent Robots and Systems IROS "},"language":[{"iso":"eng"}],"citation":{"ama":"Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November. IEEE; 2016. doi:10.1109/IROS.2016.7759138","ista":"Martius GS, Hostettler R, Knoll A, Der R. 2016. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. IEEE RSJ International Conference on Intelligent Robots and Systems IROS vol. 2016–November, 7759138.","apa":"Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm (Vol. 2016–November). Presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea: IEEE. https://doi.org/10.1109/IROS.2016.7759138","ieee":"G. S. Martius, R. Hostettler, A. Knoll, and R. Der, “Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm,” presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea, 2016, vol. 2016–November.","mla":"Martius, Georg S., et al. Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm. Vol. 2016–November, 7759138, IEEE, 2016, doi:10.1109/IROS.2016.7759138.","short":"G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.","chicago":"Martius, Georg S, Raphael Hostettler, Alois Knoll, and Ralf Der. “Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm,” Vol. 2016–November. IEEE, 2016. https://doi.org/10.1109/IROS.2016.7759138."},"quality_controlled":"1","month":"11","day":"28","scopus_import":1},{"type":"conference","abstract":[{"text":"Theoretical and numerical aspects of aerodynamic efficiency of propulsion systems coupled to the boundary layer of a fuselage are studied. We discuss the effects of local flow fields, which are affected both by conservative flow acceleration as well as total pressure losses, on the efficiency of boundary layer immersed propulsion devices. We introduce the concept of a boundary layer retardation turbine that helps reduce skin friction over the fuselage. We numerically investigate efficiency gains offered by boundary layer and wake interacting devices. We discuss the results in terms of a total energy consumption framework and show that efficiency gains of any device depend on all the other elements of the propulsion system.","lang":"eng"}],"publist_id":"6114","title":"Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency","status":"public","publication_status":"published","publisher":"AIAA","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"_id":"1220","year":"2016","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_created":"2018-12-11T11:50:47Z","date_updated":"2023-02-21T10:17:50Z","oa_version":"Preprint","author":[{"full_name":"Mikić, Gregor","last_name":"Mikić","first_name":"Gregor"},{"first_name":"Alex","last_name":"Stoll","full_name":"Stoll, Alex"},{"first_name":"Joe","last_name":"Bevirt","full_name":"Bevirt, Joe"},{"full_name":"Grah, Rok","first_name":"Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2539-3560"},{"full_name":"Moore, Mark","first_name":"Mark","last_name":"Moore"}],"scopus_import":1,"month":"06","day":"01","quality_controlled":"1","page":"1 - 19","citation":{"ama":"Mikić G, Stoll A, Bevirt J, Grah R, Moore M. Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency. In: AIAA; 2016:1-19. doi:10.2514/6.2016-3764","ista":"Mikić G, Stoll A, Bevirt J, Grah R, Moore M. 2016. Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency. AIAA: Aviation Technology, Integration, and Operations Conference, 1–19.","ieee":"G. Mikić, A. Stoll, J. Bevirt, R. Grah, and M. Moore, “Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency,” presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA, 2016, pp. 1–19.","apa":"Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764","mla":"Mikić, Gregor, et al. Fuselage Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for Optimal Efficiency. AIAA, 2016, pp. 1–19, doi:10.2514/6.2016-3764.","short":"G. Mikić, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.","chicago":"Mikić, Gregor, Alex Stoll, Joe Bevirt, Rok Grah, and Mark Moore. “Fuselage Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for Optimal Efficiency,” 1–19. AIAA, 2016. https://doi.org/10.2514/6.2016-3764."},"main_file_link":[{"url":"https://ntrs.nasa.gov/search.jsp?R=20160010167&hterms=Fuselage+boundary+layer+ingestion+propulsion+applied+thin+haul+commuter+aircraft+optimal+efficiency&qs=N%3D0%26Ntk%3DAll%26Ntt%3DFuselage%2520boundary%2520layer%2520ingestion%2520propulsion%2520applied%2520to%2520a%2520thin%2520haul%2520commuter%2520aircraft%2520for%2520optimal%2520efficiency%26Ntx%3Dmode%2520matchallpartial%26Nm%3D123%7CCollection%7CNASA%2520STI%7C%7C17%7CCollection%7CNACA","open_access":"1"}],"oa":1,"language":[{"iso":"eng"}],"conference":{"start_date":"2016-06-13","location":"Washington, D.C., USA","end_date":"2016-06-17","name":"AIAA: Aviation Technology, Integration, and Operations Conference"},"doi":"10.2514/6.2016-3764","date_published":"2016-06-01T00:00:00Z"},{"type":"journal_article","abstract":[{"text":"A crucial step in the regulation of gene expression is binding of transcription factor (TF) proteins to regulatory sites along the DNA. But transcription factors act at nanomolar concentrations, and noise due to random arrival of these molecules at their binding sites can severely limit the precision of regulation. Recent work on the optimization of information flow through regulatory networks indicates that the lower end of the dynamic range of concentrations is simply inaccessible, overwhelmed by the impact of this noise. Motivated by the behavior of homeodomain proteins, such as the maternal morphogen Bicoid in the fruit fly embryo, we suggest a scheme in which transcription factors also act as indirect translational regulators, binding to the mRNA of other regulatory proteins. Intuitively, each mRNA molecule acts as an independent sensor of the input concentration, and averaging over these multiple sensors reduces the noise. We analyze information flow through this scheme and identify conditions under which it outperforms direct transcriptional regulation. Our results suggest that the dual role of homeodomain proteins is not just a historical accident, but a solution to a crucial physics problem in the regulation of gene expression.","lang":"eng"}],"issue":"2","status":"public","title":"Extending the dynamic range of transcription factor action by translational regulation","intvolume":" 93","_id":"1242","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","scopus_import":1,"day":"04","publication":"Physical Review E Statistical Nonlinear and Soft Matter Physics","citation":{"ama":"Sokolowski TR, Walczak A, Bialek W, Tkačik G. Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. 2016;93(2). doi:10.1103/PhysRevE.93.022404","ista":"Sokolowski TR, Walczak A, Bialek W, Tkačik G. 2016. Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. 93(2), 022404.","apa":"Sokolowski, T. R., Walczak, A., Bialek, W., & Tkačik, G. (2016). Extending the dynamic range of transcription factor action by translational regulation. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.93.022404","ieee":"T. R. Sokolowski, A. Walczak, W. Bialek, and G. Tkačik, “Extending the dynamic range of transcription factor action by translational regulation,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2. American Institute of Physics, 2016.","mla":"Sokolowski, Thomas R., et al. “Extending the Dynamic Range of Transcription Factor Action by Translational Regulation.” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2, 022404, American Institute of Physics, 2016, doi:10.1103/PhysRevE.93.022404.","short":"T.R. Sokolowski, A. Walczak, W. Bialek, G. Tkačik, Physical Review E Statistical Nonlinear and Soft Matter Physics 93 (2016).","chicago":"Sokolowski, Thomas R, Aleksandra Walczak, William Bialek, and Gašper Tkačik. “Extending the Dynamic Range of Transcription Factor Action by Translational Regulation.” Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics, 2016. https://doi.org/10.1103/PhysRevE.93.022404."},"date_published":"2016-02-04T00:00:00Z","article_number":"022404","publist_id":"6088","publication_status":"published","publisher":"American Institute of Physics","department":[{"_id":"GaTk"}],"year":"2016","acknowledgement":"We thank T. Gregor, A. Prochaintz, and others for\r\nhelpful discussions. This work was supported in part by\r\nGrants No. PHY-1305525 and No. CCF-0939370 from the\r\nUS National Science Foundation and by the W.M. Keck\r\nFoundation. A.M.W. acknowledges the support by European\r\nResearch Council (ERC) Grant No. MCCIG PCIG10–GA-\r\n2011–303561. G.T. and T.R.S. were supported by Austrian\r\nScience Fund (FWF) Grant No. P28844S.","date_updated":"2021-01-12T06:49:20Z","date_created":"2018-12-11T11:50:54Z","volume":93,"author":[{"full_name":"Sokolowski, Thomas R","id":"3E999752-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1287-3779","first_name":"Thomas R","last_name":"Sokolowski"},{"first_name":"Aleksandra","last_name":"Walczak","full_name":"Walczak, Aleksandra"},{"last_name":"Bialek","first_name":"William","full_name":"Bialek, William"},{"full_name":"Tkacik, Gasper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik"}],"month":"02","quality_controlled":"1","project":[{"_id":"254E9036-B435-11E9-9278-68D0E5697425","grant_number":"P28844-B27","call_identifier":"FWF","name":"Biophysics of information processing in gene regulation"}],"oa":1,"main_file_link":[{"url":"https://arxiv.org/abs/1507.02562","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.1103/PhysRevE.93.022404"},{"author":[{"full_name":"Recouvreux, Pierre","last_name":"Recouvreux","first_name":"Pierre"},{"id":"3E999752-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1287-3779","first_name":"Thomas R","last_name":"Sokolowski","full_name":"Sokolowski, Thomas R"},{"first_name":"Aristea","last_name":"Grammoustianou","full_name":"Grammoustianou, Aristea"},{"first_name":"Pieter","last_name":"Tenwolde","full_name":"Tenwolde, Pieter"},{"first_name":"Marileen","last_name":"Dogterom","full_name":"Dogterom, Marileen"}],"volume":113,"date_updated":"2021-01-12T06:49:21Z","date_created":"2018-12-11T11:50:55Z","year":"2016","acknowledgement":"We thank Sophie Martin, Ken Sawin, Stephen Huisman,\r\nand Damian Brunner for strains; Julianne\r\nTeapal, Marcel Janson, Sergio Rincon,\r\nand Phong Tran for technical assistance; Andrew Mugler and Bela Mulder for\r\ndiscussions; and Sander Tans, Phong Tran,\r\nand Anne Paoletti for critical reading\r\nof the manuscript. This work is part of the research program of the\r\n“\r\nStichting\r\nvoor Fundamenteel Onderzoek de Materie,\r\n”\r\nwhich is financially supported by\r\nthe\r\n“\r\nNederlandse organisatie voor Wete\r\nnschappelijk Onderzoek (NWO).\r\n”","publisher":"National Academy of Sciences","department":[{"_id":"GaTk"}],"publication_status":"published","publist_id":"6085","doi":"10.1073/pnas.1419248113","language":[{"iso":"eng"}],"oa":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763754/"}],"quality_controlled":"1","month":"02","oa_version":"Submitted Version","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"1244","intvolume":" 113","status":"public","title":"Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells","issue":"7","abstract":[{"lang":"eng","text":"Cell polarity refers to a functional spatial organization of proteins that is crucial for the control of essential cellular processes such as growth and division. To establish polarity, cells rely on elaborate regulation networks that control the distribution of proteins at the cell membrane. In fission yeast cells, a microtubule-dependent network has been identified that polarizes the distribution of signaling proteins that restricts growth to cell ends and targets the cytokinetic machinery to the middle of the cell. Although many molecular components have been shown to play a role in this network, it remains unknown which molecular functionalities are minimally required to establish a polarized protein distribution in this system. Here we show that a membrane-binding protein fragment, which distributes homogeneously in wild-type fission yeast cells, can be made to concentrate at cell ends by attaching it to a cytoplasmic microtubule end-binding protein. This concentration results in a polarized pattern of chimera proteins with a spatial extension that is very reminiscent of natural polarity patterns in fission yeast. However, chimera levels fluctuate in response to microtubule dynamics, and disruption of microtubules leads to disappearance of the pattern. Numerical simulations confirm that the combined functionality of membrane anchoring and microtubule tip affinity is in principle sufficient to create polarized patterns. Our chimera protein may thus represent a simple molecular functionality that is able to polarize the membrane, onto which additional layers of molecular complexity may be built to provide the temporal robustness that is typical of natural polarity patterns."}],"type":"journal_article","date_published":"2016-02-16T00:00:00Z","citation":{"ama":"Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells. PNAS. 2016;113(7):1811-1816. doi:10.1073/pnas.1419248113","ieee":"P. Recouvreux, T. R. Sokolowski, A. Grammoustianou, P. Tenwolde, and M. Dogterom, “Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells,” PNAS, vol. 113, no. 7. National Academy of Sciences, pp. 1811–1816, 2016.","apa":"Recouvreux, P., Sokolowski, T. R., Grammoustianou, A., Tenwolde, P., & Dogterom, M. (2016). Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1419248113","ista":"Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. 2016. Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells. PNAS. 113(7), 1811–1816.","short":"P. Recouvreux, T.R. Sokolowski, A. Grammoustianou, P. Tenwolde, M. Dogterom, PNAS 113 (2016) 1811–1816.","mla":"Recouvreux, Pierre, et al. “Chimera Proteins with Affinity for Membranes and Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS, vol. 113, no. 7, National Academy of Sciences, 2016, pp. 1811–16, doi:10.1073/pnas.1419248113.","chicago":"Recouvreux, Pierre, Thomas R Sokolowski, Aristea Grammoustianou, Pieter Tenwolde, and Marileen Dogterom. “Chimera Proteins with Affinity for Membranes and Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS. National Academy of Sciences, 2016. https://doi.org/10.1073/pnas.1419248113."},"publication":"PNAS","page":"1811 - 1816","day":"16","scopus_import":1},{"doi":"10.1146/annurev-conmatphys-031214-014803","language":[{"iso":"eng"}],"oa":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1412.8752"}],"project":[{"call_identifier":"FWF","name":"Sensitivity to higher-order statistics in natural scenes","_id":"254D1A94-B435-11E9-9278-68D0E5697425","grant_number":"P 25651-N26"}],"quality_controlled":"1","month":"03","author":[{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik","full_name":"Tkacik, Gasper"},{"full_name":"Bialek, William","last_name":"Bialek","first_name":"William"}],"volume":7,"date_created":"2018-12-11T11:50:56Z","date_updated":"2021-01-12T06:49:23Z","year":"2016","acknowledgement":"Our work was supported in part by the US\r\nNational Science Foundation (PHY–1305525 and CCF–\r\n0939370), by the Austrian Science Foundation (FWF\r\nP25651), by the Human Frontiers Science Program, and\r\nby the Simons and Swartz Foundations.","publisher":"Annual Reviews","department":[{"_id":"GaTk"}],"publication_status":"published","publist_id":"6080","date_published":"2016-03-10T00:00:00Z","citation":{"ista":"Tkačik G, Bialek W. 2016. Information processing in living systems. Annual Review of Condensed Matter Physics. 7, 89–117.","apa":"Tkačik, G., & Bialek, W. (2016). Information processing in living systems. Annual Review of Condensed Matter Physics. Annual Reviews. https://doi.org/10.1146/annurev-conmatphys-031214-014803","ieee":"G. Tkačik and W. Bialek, “Information processing in living systems,” Annual Review of Condensed Matter Physics, vol. 7. Annual Reviews, pp. 89–117, 2016.","ama":"Tkačik G, Bialek W. Information processing in living systems. Annual Review of Condensed Matter Physics. 2016;7:89-117. doi:10.1146/annurev-conmatphys-031214-014803","chicago":"Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.” Annual Review of Condensed Matter Physics. Annual Reviews, 2016. https://doi.org/10.1146/annurev-conmatphys-031214-014803.","mla":"Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.” Annual Review of Condensed Matter Physics, vol. 7, Annual Reviews, 2016, pp. 89–117, doi:10.1146/annurev-conmatphys-031214-014803.","short":"G. Tkačik, W. Bialek, Annual Review of Condensed Matter Physics 7 (2016) 89–117."},"publication":"Annual Review of Condensed Matter Physics","page":"89 - 117","day":"10","scopus_import":1,"oa_version":"Preprint","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"1248","intvolume":" 7","title":"Information processing in living systems","status":"public","abstract":[{"text":"Life depends as much on the flow of information as on the flow of energy. Here we review the many efforts to make this intuition precise. Starting with the building blocks of information theory, we explore examples where it has been possible to measure, directly, the flow of information in biological networks, or more generally where information-theoretic ideas have been used to guide the analysis of experiments. Systems of interest range from single molecules (the sequence diversity in families of proteins) to groups of organisms (the distribution of velocities in flocks of birds), and all scales in between. Many of these analyses are motivated by the idea that biological systems may have evolved to optimize the gathering and representation of information, and we review the experimental evidence for this optimization, again across a wide range of scales.","lang":"eng"}],"type":"journal_article"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"1260","intvolume":" 27","title":"The dual of the space of interactions in neural network models","status":"public","oa_version":"Preprint","type":"journal_article","issue":"6","abstract":[{"text":"In this work, the Gardner problem of inferring interactions and fields for an Ising neural network from given patterns under a local stability hypothesis is addressed under a dual perspective. By means of duality arguments, an integer linear system is defined whose solution space is the dual of the Gardner space and whose solutions represent mutually unstable patterns. We propose and discuss Monte Carlo methods in order to find and remove unstable patterns and uniformly sample the space of interactions thereafter. We illustrate the problem on a set of real data and perform ensemble calculation that shows how the emergence of phase dominated by unstable patterns can be triggered in a nonlinear discontinuous way.","lang":"eng"}],"citation":{"short":"D. De Martino, International Journal of Modern Physics C 27 (2016).","mla":"De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C, vol. 27, no. 6, 1650067, World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.","chicago":"De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C. World Scientific Publishing, 2016. https://doi.org/10.1142/S0129183116500674.","ama":"De Martino D. The dual of the space of interactions in neural network models. International Journal of Modern Physics C. 2016;27(6). doi:10.1142/S0129183116500674","apa":"De Martino, D. (2016). The dual of the space of interactions in neural network models. International Journal of Modern Physics C. World Scientific Publishing. https://doi.org/10.1142/S0129183116500674","ieee":"D. De Martino, “The dual of the space of interactions in neural network models,” International Journal of Modern Physics C, vol. 27, no. 6. World Scientific Publishing, 2016.","ista":"De Martino D. 2016. The dual of the space of interactions in neural network models. International Journal of Modern Physics C. 27(6), 1650067."},"publication":"International Journal of Modern Physics C","article_type":"original","date_published":"2016-06-01T00:00:00Z","scopus_import":1,"article_processing_charge":"No","day":"01","year":"2016","department":[{"_id":"GaTk"}],"publisher":"World Scientific Publishing","publication_status":"published","author":[{"first_name":"Daniele","last_name":"De Martino","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5214-4706","full_name":"De Martino, Daniele"}],"volume":27,"date_updated":"2021-01-12T06:49:28Z","date_created":"2018-12-11T11:51:00Z","article_number":"1650067","publist_id":"6065","main_file_link":[{"url":"https://arxiv.org/abs/1505.02963","open_access":"1"}],"oa":1,"external_id":{"arxiv":["1505.02963"]},"quality_controlled":"1","doi":"10.1142/S0129183116500674","language":[{"iso":"eng"}],"month":"06"},{"acknowledgement":"Boris Gutkin acknowledges funding by the Russian Academic Excellence Project '5-100’.","year":"2016","publisher":"eLife Sciences Publications","department":[{"_id":"GaTk"}],"publication_status":"published","author":[{"orcid":"0000-0001-7782-4436","id":"2BAAC544-F248-11E8-B48F-1D18A9856A87","last_name":"Chalk","first_name":"Matthew J","full_name":"Chalk, Matthew J"},{"first_name":"Boris","last_name":"Gutkin","full_name":"Gutkin, Boris"},{"last_name":"Denève","first_name":"Sophie","full_name":"Denève, Sophie"}],"volume":5,"date_updated":"2021-01-12T06:49:30Z","date_created":"2018-12-11T11:51:02Z","article_number":"e13824","publist_id":"6056","file_date_updated":"2020-07-14T12:44:42Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"quality_controlled":"1","doi":"10.7554/eLife.13824","language":[{"iso":"eng"}],"month":"07","_id":"1266","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","intvolume":" 5","title":"Neural oscillations as a signature of efficient coding in the presence of synaptic delays","status":"public","ddc":["571"],"pubrep_id":"700","file":[{"relation":"main_file","file_id":"4874","checksum":"dc52d967dc76174477bb258d84be2899","date_updated":"2020-07-14T12:44:42Z","date_created":"2018-12-12T10:11:20Z","access_level":"open_access","file_name":"IST-2016-700-v1+1_e13824-download.pdf","content_type":"application/pdf","file_size":2819055,"creator":"system"}],"oa_version":"Published Version","type":"journal_article","issue":"2016JULY","abstract":[{"text":"Cortical networks exhibit ‘global oscillations’, in which neural spike times are entrained to an underlying oscillatory rhythm, but where individual neurons fire irregularly, on only a fraction of cycles. While the network dynamics underlying global oscillations have been well characterised, their function is debated. Here, we show that such global oscillations are a direct consequence of optimal efficient coding in spiking networks with synaptic delays and noise. To avoid firing unnecessary spikes, neurons need to share information about the network state. Ideally, membrane potentials should be strongly correlated and reflect a ‘prediction error’ while the spikes themselves are uncorrelated and occur rarely. We show that the most efficient representation is when: (i) spike times are entrained to a global Gamma rhythm (implying a consistent representation of the error); but (ii) few neurons fire on each cycle (implying high efficiency), while (iii) excitation and inhibition are tightly balanced. This suggests that cortical networks exhibiting such dynamics are tuned to achieve a maximally efficient population code.","lang":"eng"}],"citation":{"ama":"Chalk MJ, Gutkin B, Denève S. Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife. 2016;5(2016JULY). doi:10.7554/eLife.13824","ista":"Chalk MJ, Gutkin B, Denève S. 2016. Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife. 5(2016JULY), e13824.","ieee":"M. J. Chalk, B. Gutkin, and S. Denève, “Neural oscillations as a signature of efficient coding in the presence of synaptic delays,” eLife, vol. 5, no. 2016JULY. eLife Sciences Publications, 2016.","apa":"Chalk, M. J., Gutkin, B., & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.13824","mla":"Chalk, Matthew J., et al. “Neural Oscillations as a Signature of Efficient Coding in the Presence of Synaptic Delays.” ELife, vol. 5, no. 2016JULY, e13824, eLife Sciences Publications, 2016, doi:10.7554/eLife.13824.","short":"M.J. Chalk, B. Gutkin, S. Denève, ELife 5 (2016).","chicago":"Chalk, Matthew J, Boris Gutkin, and Sophie Denève. “Neural Oscillations as a Signature of Efficient Coding in the Presence of Synaptic Delays.” ELife. eLife Sciences Publications, 2016. https://doi.org/10.7554/eLife.13824."},"publication":"eLife","date_published":"2016-07-01T00:00:00Z","scopus_import":1,"has_accepted_license":"1","day":"01"},{"type":"journal_article","issue":"11","abstract":[{"text":"We developed a competition-based screening strategy to identify compounds that invert the selective advantage of antibiotic resistance. Using our assay, we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram. Treating a tetracycline-resistant population with β-thujaplicin selects for loss of the resistance gene, enabling an effective second-phase treatment with doxycycline.","lang":"eng"}],"intvolume":" 12","title":"Compounds that select against the tetracycline-resistance efflux pump","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"1290","oa_version":"Preprint","scopus_import":1,"day":"01","page":"902 - 904","citation":{"ama":"Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. 2016;12(11):902-904. doi:10.1038/nchembio.2176","ista":"Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. 2016. Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. 12(11), 902–904.","apa":"Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., & Kishony, R. (2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/nchembio.2176","ieee":"L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds that select against the tetracycline-resistance efflux pump,” Nature Chemical Biology, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016.","mla":"Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance Efflux Pump.” Nature Chemical Biology, vol. 12, no. 11, Nature Publishing Group, 2016, pp. 902–04, doi:10.1038/nchembio.2176.","short":"L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature Chemical Biology 12 (2016) 902–904.","chicago":"Stone, Laura, Michael Baym, Tami Lieberman, Remy P Chait, Jon Clardy, and Roy Kishony. “Compounds That Select against the Tetracycline-Resistance Efflux Pump.” Nature Chemical Biology. Nature Publishing Group, 2016. https://doi.org/10.1038/nchembio.2176."},"publication":"Nature Chemical Biology","date_published":"2016-11-01T00:00:00Z","publist_id":"6026","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"publisher":"Nature Publishing Group","publication_status":"published","year":"2016","acknowledgement":"This work was supported in part by National Institute of Allergy and Infectious Diseases grant U54 AI057159, US National Institutes of Health grants R01 GM081617 (to R.K.) and GM086258 (to J.C.), European Research Council FP7 ERC grant 281891 (to R.K.) and a National Science Foundation Graduate Fellowship (to L.K.S.).\r\n","volume":12,"date_created":"2018-12-11T11:51:10Z","date_updated":"2021-01-12T06:49:39Z","author":[{"first_name":"Laura","last_name":"Stone","full_name":"Stone, Laura"},{"full_name":"Baym, Michael","first_name":"Michael","last_name":"Baym"},{"last_name":"Lieberman","first_name":"Tami","full_name":"Lieberman, Tami"},{"last_name":"Chait","first_name":"Remy P","orcid":"0000-0003-0876-3187","id":"3464AE84-F248-11E8-B48F-1D18A9856A87","full_name":"Chait, Remy P"},{"first_name":"Jon","last_name":"Clardy","full_name":"Clardy, Jon"},{"full_name":"Kishony, Roy","first_name":"Roy","last_name":"Kishony"}],"month":"11","quality_controlled":"1","oa":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069154/"}],"language":[{"iso":"eng"}],"doi":"10.1038/nchembio.2176"}]