[{"month":"11","project":[{"name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7","grant_number":"268548","_id":"25C0F108-B435-11E9-9278-68D0E5697425"}],"quality_controlled":"1","tmp":{"short":"CC BY-SA (4.0)","image":"/images/cc_by_sa.png","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode"},"oa":1,"language":[{"iso":"eng"}],"doi":"10.1371/journal.pone.0113124","article_number":"0113124","license":"https://creativecommons.org/licenses/by-sa/4.0/","publist_id":"5074","ec_funded":1,"file_date_updated":"2020-07-14T12:45:24Z","publisher":"Public Library of Science","department":[{"_id":"PeJo"}],"publication_status":"published","year":"2014","volume":9,"date_updated":"2021-01-12T06:54:39Z","date_created":"2018-12-11T11:55:09Z","author":[{"last_name":"Kim","first_name":"Sooyun","id":"394AB1C8-F248-11E8-B48F-1D18A9856A87","full_name":"Kim, Sooyun"}],"scopus_import":1,"has_accepted_license":"1","day":"19","citation":{"ista":"Kim S. 2014. Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. PLoS One. 9(11), 0113124.","apa":"Kim, S. (2014). Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0113124","ieee":"S. Kim, “Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus,” PLoS One, vol. 9, no. 11. Public Library of Science, 2014.","ama":"Kim S. Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. PLoS One. 2014;9(11). doi:10.1371/journal.pone.0113124","chicago":"Kim, Sooyun. “Action Potential Modulation in CA1 Pyramidal Neuron Axons Facilitates OLM Interneuron Activation in Recurrent Inhibitory Microcircuits of Rat Hippocampus.” PLoS One. Public Library of Science, 2014. https://doi.org/10.1371/journal.pone.0113124.","mla":"Kim, Sooyun. “Action Potential Modulation in CA1 Pyramidal Neuron Axons Facilitates OLM Interneuron Activation in Recurrent Inhibitory Microcircuits of Rat Hippocampus.” PLoS One, vol. 9, no. 11, 0113124, Public Library of Science, 2014, doi:10.1371/journal.pone.0113124.","short":"S. Kim, PLoS One 9 (2014)."},"publication":"PLoS One","date_published":"2014-11-19T00:00:00Z","type":"journal_article","issue":"11","abstract":[{"text":"Oriens-lacunosum moleculare (O-LM) interneurons in the CA1 region of the hippocampus play a key role in feedback inhibition and in the control of network activity. However, how these cells are efficiently activated in the network remains unclear. To address this question, I performed recordings from CA1 pyramidal neuron axons, the presynaptic fibers that provide feedback innervation of these interneurons. Two forms of axonal action potential (AP) modulation were identified. First, repetitive stimulation resulted in activity-dependent AP broadening. Broadening showed fast onset, with marked changes in AP shape following a single AP. Second, tonic depolarization in CA1 pyramidal neuron somata induced AP broadening in the axon, and depolarization-induced broadening summated with activity-dependent broadening. Outsideout patch recordings from CA1 pyramidal neuron axons revealed a high density of a-dendrotoxin (α-DTX)-sensitive, inactivating K+ channels, suggesting that K+ channel inactivation mechanistically contributes to AP broadening. To examine the functional consequences of axonal AP modulation for synaptic transmission, I performed paired recordings between synaptically connected CA1 pyramidal neurons and O-LM interneurons. CA1 pyramidal neuron-O-LM interneuron excitatory postsynaptic currents (EPSCs) showed facilitation during both repetitive stimulation and tonic depolarization of the presynaptic neuron. Both effects were mimicked and occluded by α-DTX, suggesting that they were mediated by K+ channel inactivation. Therefore, axonal AP modulation can greatly facilitate the activation of O-LM interneurons. In conclusion, modulation of AP shape in CA1 pyramidal neuron axons substantially enhances the efficacy of principal neuron-interneuron synapses, promoting the activation of O-LM interneurons in recurrent inhibitory microcircuits.","lang":"eng"}],"intvolume":" 9","status":"public","ddc":["570"],"title":"Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","_id":"2002","file":[{"access_level":"open_access","file_name":"IST-2016-434-v1+1_journal.pone.0113124.pdf","content_type":"application/pdf","file_size":5179993,"creator":"system","relation":"main_file","file_id":"5107","checksum":"85e4f4ea144f827272aaf376b2830564","date_created":"2018-12-12T10:14:52Z","date_updated":"2020-07-14T12:45:24Z"}],"oa_version":"Published Version","pubrep_id":"434"},{"quality_controlled":"1","page":"8 - 10","publication":"Neuron","citation":{"ista":"O’Neill J, Csicsvari JL. 2014. Learning by example in the hippocampus. Neuron. 83(1), 8–10.","apa":"O’Neill, J., & Csicsvari, J. L. (2014). Learning by example in the hippocampus. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2014.06.013","ieee":"J. O’Neill and J. L. Csicsvari, “Learning by example in the hippocampus,” Neuron, vol. 83, no. 1. Elsevier, pp. 8–10, 2014.","ama":"O’Neill J, Csicsvari JL. Learning by example in the hippocampus. Neuron. 2014;83(1):8-10. doi:10.1016/j.neuron.2014.06.013","chicago":"O’Neill, Joseph, and Jozsef L Csicsvari. “Learning by Example in the Hippocampus.” Neuron. Elsevier, 2014. https://doi.org/10.1016/j.neuron.2014.06.013.","mla":"O’Neill, Joseph, and Jozsef L. Csicsvari. “Learning by Example in the Hippocampus.” Neuron, vol. 83, no. 1, Elsevier, 2014, pp. 8–10, doi:10.1016/j.neuron.2014.06.013.","short":"J. O’Neill, J.L. Csicsvari, Neuron 83 (2014) 8–10."},"language":[{"iso":"eng"}],"doi":"10.1016/j.neuron.2014.06.013","date_published":"2014-07-02T00:00:00Z","scopus_import":1,"month":"07","day":"02","status":"public","title":"Learning by example in the hippocampus","publication_status":"published","department":[{"_id":"JoCs"}],"publisher":"Elsevier","intvolume":" 83","year":"2014","_id":"2003","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","date_updated":"2021-01-12T06:54:39Z","date_created":"2018-12-11T11:55:09Z","volume":83,"oa_version":"None","author":[{"full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L"}],"type":"journal_article","abstract":[{"text":"Learning can be facilitated by previous knowledge when it is organized into relational representations forming schemas. In this issue of Neuron, McKenzie et al. (2014) demonstrate that the hippocampus rapidly forms interrelated, hierarchical memory representations to support schema-based learning.","lang":"eng"}],"issue":"1","publist_id":"5073"},{"acknowledgement":"This research was partially supported by NSF Awards EMSW21-RTG and BCS-0941518 to the Department of Statistics at Carnegie Mellon University, and by NSF Grant BCS-0941553 to the Department of Statistics at Pennsylvania State University. This work was also supported in part by the National Center for Research Resources, Grant UL1 RR033184, and is now at the National Center for Advancing Translational Sciences, Grant UL1 TR000127 to Pennsylvania State University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NSF and NIH.","_id":"2011","year":"2014","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","intvolume":" 50","department":[{"_id":"CaUh"}],"publisher":"Elsevier","status":"public","publication_status":"published","title":"Scalable privacy-preserving data sharing methodology for genome-wide association studies","author":[{"full_name":"Yu, Fei","first_name":"Fei","last_name":"Yu"},{"first_name":"Stephen","last_name":"Fienberg","full_name":"Fienberg, Stephen"},{"full_name":"Slaković, Alexandra","last_name":"Slaković","first_name":"Alexandra"},{"full_name":"Uhler, Caroline","last_name":"Uhler","first_name":"Caroline","orcid":"0000-0002-7008-0216","id":"49ADD78E-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Submitted Version","volume":50,"date_created":"2018-12-11T11:55:12Z","date_updated":"2021-01-12T06:54:42Z","type":"journal_article","publist_id":"5065","abstract":[{"lang":"eng","text":"The protection of privacy of individual-level information in genome-wide association study (GWAS) databases has been a major concern of researchers following the publication of “an attack” on GWAS data by Homer et al. (2008). Traditional statistical methods for confidentiality and privacy protection of statistical databases do not scale well to deal with GWAS data, especially in terms of guarantees regarding protection from linkage to external information. The more recent concept of differential privacy, introduced by the cryptographic community, is an approach that provides a rigorous definition of privacy with meaningful privacy guarantees in the presence of arbitrary external information, although the guarantees may come at a serious price in terms of data utility. Building on such notions, Uhler et al. (2013) proposed new methods to release aggregate GWAS data without compromising an individual’s privacy. We extend the methods developed in Uhler et al. (2013) for releasing differentially-private χ2χ2-statistics by allowing for arbitrary number of cases and controls, and for releasing differentially-private allelic test statistics. We also provide a new interpretation by assuming the controls’ data are known, which is a realistic assumption because some GWAS use publicly available data as controls. We assess the performance of the proposed methods through a risk-utility analysis on a real data set consisting of DNA samples collected by the Wellcome Trust Case Control Consortium and compare the methods with the differentially-private release mechanism proposed by Johnson and Shmatikov (2013)."}],"main_file_link":[{"url":"http://arxiv.org/abs/1401.5193","open_access":"1"}],"oa":1,"citation":{"ista":"Yu F, Fienberg S, Slaković A, Uhler C. 2014. Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. 50, 133–141.","ieee":"F. Yu, S. Fienberg, A. Slaković, and C. Uhler, “Scalable privacy-preserving data sharing methodology for genome-wide association studies,” Journal of Biomedical Informatics, vol. 50. Elsevier, pp. 133–141, 2014.","apa":"Yu, F., Fienberg, S., Slaković, A., & Uhler, C. (2014). Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. Elsevier. https://doi.org/10.1016/j.jbi.2014.01.008","ama":"Yu F, Fienberg S, Slaković A, Uhler C. Scalable privacy-preserving data sharing methodology for genome-wide association studies. Journal of Biomedical Informatics. 2014;50:133-141. doi:10.1016/j.jbi.2014.01.008","chicago":"Yu, Fei, Stephen Fienberg, Alexandra Slaković, and Caroline Uhler. “Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies.” Journal of Biomedical Informatics. Elsevier, 2014. https://doi.org/10.1016/j.jbi.2014.01.008.","mla":"Yu, Fei, et al. “Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies.” Journal of Biomedical Informatics, vol. 50, Elsevier, 2014, pp. 133–41, doi:10.1016/j.jbi.2014.01.008.","short":"F. Yu, S. Fienberg, A. Slaković, C. Uhler, Journal of Biomedical Informatics 50 (2014) 133–141."},"publication":"Journal of Biomedical Informatics","page":"133 - 141","quality_controlled":"1","date_published":"2014-08-01T00:00:00Z","doi":"10.1016/j.jbi.2014.01.008","language":[{"iso":"eng"}],"scopus_import":1,"month":"08","day":"01"},{"issue":"5","publist_id":"5071","abstract":[{"lang":"eng","text":"By eliciting a natural exploratory behavior in rats, head scanning, a study reveals that hippocampal place cells form new, stable firing fields in those locations where the behavior has just occurred."}],"type":"journal_article","oa_version":"None","volume":17,"date_created":"2018-12-11T11:55:09Z","date_updated":"2021-01-12T06:54:40Z","author":[{"full_name":"Dupret, David","first_name":"David","last_name":"Dupret"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L"}],"department":[{"_id":"JoCs"}],"intvolume":" 17","publisher":"Nature Publishing Group","publication_status":"published","status":"public","title":"Turning heads to remember places","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","_id":"2005","year":"2014","day":"25","month":"04","scopus_import":1,"language":[{"iso":"eng"}],"date_published":"2014-04-25T00:00:00Z","doi":"10.1038/nn.3700","page":"643 - 644","quality_controlled":"1","citation":{"chicago":"Dupret, David, and Jozsef L Csicsvari. “Turning Heads to Remember Places.” Nature Neuroscience. Nature Publishing Group, 2014. https://doi.org/10.1038/nn.3700.","short":"D. Dupret, J.L. Csicsvari, Nature Neuroscience 17 (2014) 643–644.","mla":"Dupret, David, and Jozsef L. Csicsvari. “Turning Heads to Remember Places.” Nature Neuroscience, vol. 17, no. 5, Nature Publishing Group, 2014, pp. 643–44, doi:10.1038/nn.3700.","apa":"Dupret, D., & Csicsvari, J. L. (2014). Turning heads to remember places. Nature Neuroscience. Nature Publishing Group. https://doi.org/10.1038/nn.3700","ieee":"D. Dupret and J. L. Csicsvari, “Turning heads to remember places,” Nature Neuroscience, vol. 17, no. 5. Nature Publishing Group, pp. 643–644, 2014.","ista":"Dupret D, Csicsvari JL. 2014. Turning heads to remember places. Nature Neuroscience. 17(5), 643–644.","ama":"Dupret D, Csicsvari JL. Turning heads to remember places. Nature Neuroscience. 2014;17(5):643-644. doi:10.1038/nn.3700"},"publication":"Nature Neuroscience"},{"article_processing_charge":"No","month":"03","day":"20","date_published":"2014-03-20T00:00:00Z","main_file_link":[{"open_access":"1","url":"https://CRAN.R-project.org/package=gIPFrm "}],"citation":{"apa":"Klimova, A., & Rudas, T. (2014). gIPFrm: Generalized iterative proportional fitting for relational models. The Comprehensive R Archive Network.","ieee":"A. Klimova and T. Rudas, “gIPFrm: Generalized iterative proportional fitting for relational models.” The Comprehensive R Archive Network, 2014.","ista":"Klimova A, Rudas T. 2014. gIPFrm: Generalized iterative proportional fitting for relational models, The Comprehensive R Archive Network.","ama":"Klimova A, Rudas T. gIPFrm: Generalized iterative proportional fitting for relational models. 2014.","chicago":"Klimova, Anna, and Tamás Rudas. “GIPFrm: Generalized Iterative Proportional Fitting for Relational Models.” The Comprehensive R Archive Network, 2014.","short":"A. Klimova, T. Rudas, (2014).","mla":"Klimova, Anna, and Tamás Rudas. GIPFrm: Generalized Iterative Proportional Fitting for Relational Models. The Comprehensive R Archive Network, 2014."},"oa":1,"publist_id":"5069","abstract":[{"lang":"eng","text":"Maximum likelihood estimation under relational models, with or without the overall effect. For more information see the reference manual"}],"type":"research_data_reference","author":[{"full_name":"Klimova, Anna","first_name":"Anna","last_name":"Klimova","id":"31934120-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Rudas, Tamás","first_name":"Tamás","last_name":"Rudas"}],"oa_version":"Published Version","date_created":"2018-12-11T11:55:10Z","date_updated":"2022-08-26T08:12:12Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"2007","year":"2014","publisher":"The Comprehensive R Archive Network","department":[{"_id":"CaUh"}],"title":"gIPFrm: Generalized iterative proportional fitting for relational models","status":"public"}]