[{"_id":"710","conference":{"name":"20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX","end_date":"2017-08-18","location":"Berkeley, USA","start_date":"2017-08-18"},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"conference","pubrep_id":"888","status":"public","date_updated":"2021-01-12T08:11:50Z","ddc":["005","600"],"department":[{"_id":"KrPi"}],"file_date_updated":"2020-07-14T12:47:49Z","abstract":[{"lang":"eng","text":"We revisit the problem of estimating entropy of discrete distributions from independent samples, studied recently by Acharya, Orlitsky, Suresh and Tyagi (SODA 2015), improving their upper and lower bounds on the necessary sample size n. For estimating Renyi entropy of order alpha, up to constant accuracy and error probability, we show the following * Upper bounds n = O(1) 2^{(1-1/alpha)H_alpha} for integer alpha>1, as the worst case over distributions with Renyi entropy equal to H_alpha. * Lower bounds n = Omega(1) K^{1-1/alpha} for any real alpha>1, with the constant being an inverse polynomial of the accuracy, as the worst case over all distributions on K elements. Our upper bounds essentially replace the alphabet size by a factor exponential in the entropy, which offers improvements especially in low or medium entropy regimes (interesting for example in anomaly detection). As for the lower bounds, our proof explicitly shows how the complexity depends on both alphabet and accuracy, partially solving the open problem posted in previous works. The argument for upper bounds derives a clean identity for the variance of falling-power sum of a multinomial distribution. Our approach for lower bounds utilizes convex optimization to find a distribution with possibly worse estimation performance, and may be of independent interest as a tool to work with Le Cam’s two point method. "}],"oa_version":"Published Version","scopus_import":1,"alternative_title":["LIPIcs"],"intvolume":" 81","month":"08","publication_status":"published","publication_identifier":{"issn":["18688969"]},"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","checksum":"89225c7dcec2c93838458c9102858985","file_id":"4991","date_updated":"2020-07-14T12:47:49Z","file_size":604813,"creator":"system","date_created":"2018-12-12T10:13:10Z","file_name":"IST-2017-888-v1+1_LIPIcs-APPROX-RANDOM-2017-20.pdf"}],"ec_funded":1,"volume":81,"article_number":"20","project":[{"name":"Teaching Old Crypto New Tricks","grant_number":"682815","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"citation":{"ista":"Obremski M, Skórski M. 2017. Renyi entropy estimation revisited. 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX, LIPIcs, vol. 81, 20.","chicago":"Obremski, Maciej, and Maciej Skórski. “Renyi Entropy Estimation Revisited,” Vol. 81. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017. https://doi.org/10.4230/LIPIcs.APPROX-RANDOM.2017.20.","short":"M. Obremski, M. Skórski, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017.","ieee":"M. Obremski and M. Skórski, “Renyi entropy estimation revisited,” presented at the 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX, Berkeley, USA, 2017, vol. 81.","apa":"Obremski, M., & Skórski, M. (2017). Renyi entropy estimation revisited (Vol. 81). Presented at the 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX, Berkeley, USA: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.APPROX-RANDOM.2017.20","ama":"Obremski M, Skórski M. Renyi entropy estimation revisited. In: Vol 81. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2017. doi:10.4230/LIPIcs.APPROX-RANDOM.2017.20","mla":"Obremski, Maciej, and Maciej Skórski. Renyi Entropy Estimation Revisited. Vol. 81, 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017, doi:10.4230/LIPIcs.APPROX-RANDOM.2017.20."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Obremski","full_name":"Obremski, Maciej","first_name":"Maciej"},{"last_name":"Skórski","full_name":"Skórski, Maciej","first_name":"Maciej","id":"EC09FA6A-02D0-11E9-8223-86B7C91467DD"}],"publist_id":"6979","title":"Renyi entropy estimation revisited","oa":1,"quality_controlled":"1","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","year":"2017","has_accepted_license":"1","day":"01","date_created":"2018-12-11T11:48:04Z","doi":"10.4230/LIPIcs.APPROX-RANDOM.2017.20","date_published":"2017-08-01T00:00:00Z"},{"scopus_import":1,"month":"08","intvolume":" 6","abstract":[{"text":"To determine the dynamics of allelic-specific expression during mouse development, we analyzed RNA-seq data from 23 F1 tissues from different developmental stages, including 19 female tissues allowing X chromosome inactivation (XCI) escapers to also be detected. We demonstrate that allelic expression arising from genetic or epigenetic differences is highly tissue-specific. We find that tissue-specific strain-biased gene expression may be regulated by tissue-specific enhancers or by post-transcriptional differences in stability between the alleles. We also find that escape from X-inactivation is tissue-specific, with leg muscle showing an unexpectedly high rate of XCI escapers. By surveying a range of tissues during development, and performing extensive validation, we are able to provide a high confidence list of mouse imprinted genes including 18 novel genes. This shows that cluster size varies dynamically during development and can be substantially larger than previously thought, with the Igf2r cluster extending over 10 Mb in placenta.","lang":"eng"}],"oa_version":"Published Version","volume":6,"publication_identifier":{"issn":["2050084X"]},"publication_status":"published","file":[{"file_size":6399510,"date_updated":"2020-07-14T12:47:50Z","creator":"system","file_name":"IST-2017-885-v1+1_elife-25125-figures-v2.pdf","date_created":"2018-12-12T10:13:36Z","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"5020","checksum":"1ace3462e64a971b9ead896091829549"},{"access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"5021","checksum":"6241dc31eeb87b03facadec3a53a6827","creator":"system","date_updated":"2020-07-14T12:47:50Z","file_size":4264398,"date_created":"2018-12-12T10:13:36Z","file_name":"IST-2017-885-v1+2_elife-25125-v2.pdf"}],"language":[{"iso":"eng"}],"type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","pubrep_id":"885","_id":"713","department":[{"_id":"GaNo"},{"_id":"SiHi"}],"file_date_updated":"2020-07-14T12:47:50Z","date_updated":"2021-01-12T08:11:57Z","ddc":["576"],"quality_controlled":"1","publisher":"eLife Sciences Publications","oa":1,"doi":"10.7554/eLife.25125","date_published":"2017-08-14T00:00:00Z","date_created":"2018-12-11T11:48:05Z","has_accepted_license":"1","year":"2017","day":"14","publication":"eLife","project":[{"_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22"}],"article_number":"e25125","publist_id":"6971","author":[{"first_name":"Daniel","full_name":"Andergassen, Daniel","last_name":"Andergassen"},{"id":"4C66542E-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph","last_name":"Dotter","full_name":"Dotter, Christoph"},{"full_name":"Wenzel, Dyniel","last_name":"Wenzel","first_name":"Dyniel"},{"last_name":"Sigl","full_name":"Sigl, Verena","first_name":"Verena"},{"first_name":"Philipp","last_name":"Bammer","full_name":"Bammer, Philipp"},{"last_name":"Muckenhuber","full_name":"Muckenhuber, Markus","first_name":"Markus"},{"first_name":"Daniela","full_name":"Mayer, Daniela","last_name":"Mayer"},{"first_name":"Tomasz","last_name":"Kulinski","full_name":"Kulinski, Tomasz"},{"first_name":"Hans","last_name":"Theussl","full_name":"Theussl, Hans"},{"first_name":"Josef","full_name":"Penninger, Josef","last_name":"Penninger"},{"first_name":"Christoph","full_name":"Bock, Christoph","last_name":"Bock"},{"full_name":"Barlow, Denise","last_name":"Barlow","first_name":"Denise"},{"first_name":"Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87","full_name":"Pauler, Florian","last_name":"Pauler"},{"first_name":"Quanah","last_name":"Hudson","full_name":"Hudson, Quanah"}],"title":"Mapping the mouse Allelome reveals tissue specific regulation of allelic expression","citation":{"mla":"Andergassen, Daniel, et al. “Mapping the Mouse Allelome Reveals Tissue Specific Regulation of Allelic Expression.” ELife, vol. 6, e25125, eLife Sciences Publications, 2017, doi:10.7554/eLife.25125.","short":"D. Andergassen, C. Dotter, D. Wenzel, V. Sigl, P. Bammer, M. Muckenhuber, D. Mayer, T. Kulinski, H. Theussl, J. Penninger, C. Bock, D. Barlow, F. Pauler, Q. Hudson, ELife 6 (2017).","ieee":"D. Andergassen et al., “Mapping the mouse Allelome reveals tissue specific regulation of allelic expression,” eLife, vol. 6. eLife Sciences Publications, 2017.","ama":"Andergassen D, Dotter C, Wenzel D, et al. Mapping the mouse Allelome reveals tissue specific regulation of allelic expression. eLife. 2017;6. doi:10.7554/eLife.25125","apa":"Andergassen, D., Dotter, C., Wenzel, D., Sigl, V., Bammer, P., Muckenhuber, M., … Hudson, Q. (2017). Mapping the mouse Allelome reveals tissue specific regulation of allelic expression. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25125","chicago":"Andergassen, Daniel, Christoph Dotter, Dyniel Wenzel, Verena Sigl, Philipp Bammer, Markus Muckenhuber, Daniela Mayer, et al. “Mapping the Mouse Allelome Reveals Tissue Specific Regulation of Allelic Expression.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25125.","ista":"Andergassen D, Dotter C, Wenzel D, Sigl V, Bammer P, Muckenhuber M, Mayer D, Kulinski T, Theussl H, Penninger J, Bock C, Barlow D, Pauler F, Hudson Q. 2017. Mapping the mouse Allelome reveals tissue specific regulation of allelic expression. eLife. 6, e25125."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"scopus_import":1,"alternative_title":["LIPIcs"],"month":"08","intvolume":" 85","abstract":[{"text":"Nested weighted automata (NWA) present a robust and convenient automata-theoretic formalism for quantitative specifications. Previous works have considered NWA that processed input words only in the forward direction. It is natural to allow the automata to process input words backwards as well, for example, to measure the maximal or average time between a response and the preceding request. We therefore introduce and study bidirectional NWA that can process input words in both directions. First, we show that bidirectional NWA can express interesting quantitative properties that are not expressible by forward-only NWA. Second, for the fundamental decision problems of emptiness and universality, we establish decidability and complexity results for the new framework which match the best-known results for the special case of forward-only NWA. Thus, for NWA, the increased expressiveness of bidirectionality is achieved at no additional computational complexity. This is in stark contrast to the unweighted case, where bidirectional finite automata are no more expressive but exponentially more succinct than their forward-only counterparts.","lang":"eng"}],"oa_version":"Published Version","volume":85,"publication_identifier":{"issn":["18688969"]},"publication_status":"published","file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","checksum":"d2bda4783821a6358333fe27f11f4737","file_id":"4661","file_size":570294,"date_updated":"2020-07-14T12:47:49Z","creator":"system","file_name":"IST-2017-886-v1+1_LIPIcs-CONCUR-2017-5.pdf","date_created":"2018-12-12T10:08:02Z"}],"language":[{"iso":"eng"}],"type":"conference","conference":{"name":"28th International Conference on Concurrency Theory, CONCUR","start_date":"2017-09-05","location":"Berlin, Germany","end_date":"2017-09-08"},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","pubrep_id":"886","_id":"711","department":[{"_id":"KrCh"},{"_id":"ToHe"}],"file_date_updated":"2020-07-14T12:47:49Z","date_updated":"2021-01-12T08:11:53Z","ddc":["004","005"],"publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","quality_controlled":"1","oa":1,"date_published":"2017-08-01T00:00:00Z","doi":"10.4230/LIPIcs.CONCUR.2017.5","date_created":"2018-12-11T11:48:04Z","has_accepted_license":"1","year":"2017","day":"01","article_number":"5","publist_id":"6976","author":[{"first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","full_name":"Chatterjee, Krishnendu","orcid":"0000-0002-4561-241X"},{"last_name":"Henzinger","full_name":"Henzinger, Thomas A","orcid":"0000−0002−2985−7724","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas A"},{"last_name":"Otop","full_name":"Otop, Jan","first_name":"Jan"}],"title":"Bidirectional nested weighted automata","citation":{"mla":"Chatterjee, Krishnendu, et al. Bidirectional Nested Weighted Automata. Vol. 85, 5, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017, doi:10.4230/LIPIcs.CONCUR.2017.5.","short":"K. Chatterjee, T.A. Henzinger, J. Otop, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017.","ieee":"K. Chatterjee, T. A. Henzinger, and J. Otop, “Bidirectional nested weighted automata,” presented at the 28th International Conference on Concurrency Theory, CONCUR, Berlin, Germany, 2017, vol. 85.","ama":"Chatterjee K, Henzinger TA, Otop J. Bidirectional nested weighted automata. In: Vol 85. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2017. doi:10.4230/LIPIcs.CONCUR.2017.5","apa":"Chatterjee, K., Henzinger, T. A., & Otop, J. (2017). Bidirectional nested weighted automata (Vol. 85). Presented at the 28th International Conference on Concurrency Theory, CONCUR, Berlin, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2017.5","chicago":"Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Bidirectional Nested Weighted Automata,” Vol. 85. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017. https://doi.org/10.4230/LIPIcs.CONCUR.2017.5.","ista":"Chatterjee K, Henzinger TA, Otop J. 2017. Bidirectional nested weighted automata. 28th International Conference on Concurrency Theory, CONCUR, LIPIcs, vol. 85, 5."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87"},{"abstract":[{"text":"We establish a weak–strong uniqueness principle for solutions to entropy-dissipating reaction–diffusion equations: As long as a strong solution to the reaction–diffusion equation exists, any weak solution and even any renormalized solution must coincide with this strong solution. Our assumptions on the reaction rates are just the entropy condition and local Lipschitz continuity; in particular, we do not impose any growth restrictions on the reaction rates. Therefore, our result applies to any single reversible reaction with mass-action kinetics as well as to systems of reversible reactions with mass-action kinetics satisfying the detailed balance condition. Renormalized solutions are known to exist globally in time for reaction–diffusion equations with entropy-dissipating reaction rates; in contrast, the global-in-time existence of weak solutions is in general still an open problem–even for smooth data–, thereby motivating the study of renormalized solutions. The key ingredient of our result is a careful adjustment of the usual relative entropy functional, whose evolution cannot be controlled properly for weak solutions or renormalized solutions.","lang":"eng"}],"oa_version":"Submitted Version","quality_controlled":"1","scopus_import":1,"publisher":"Elsevier","main_file_link":[{"url":"https://arxiv.org/abs/1703.00730","open_access":"1"}],"oa":1,"month":"08","intvolume":" 159","publication_identifier":{"issn":["0362546X"]},"publication_status":"published","year":"2017","day":"01","language":[{"iso":"eng"}],"publication":"Nonlinear Analysis: Theory, Methods and Applications","page":"181 - 207","volume":159,"doi":"10.1016/j.na.2017.03.001","date_published":"2017-08-01T00:00:00Z","date_created":"2018-12-11T11:48:05Z","_id":"712","type":"journal_article","status":"public","date_updated":"2021-01-12T08:11:55Z","citation":{"chicago":"Fischer, Julian L. “Weak–Strong Uniqueness of Solutions to Entropy Dissipating Reaction–Diffusion Equations.” Nonlinear Analysis: Theory, Methods and Applications. Elsevier, 2017. https://doi.org/10.1016/j.na.2017.03.001.","ista":"Fischer JL. 2017. Weak–strong uniqueness of solutions to entropy dissipating reaction–diffusion equations. Nonlinear Analysis: Theory, Methods and Applications. 159, 181–207.","mla":"Fischer, Julian L. “Weak–Strong Uniqueness of Solutions to Entropy Dissipating Reaction–Diffusion Equations.” Nonlinear Analysis: Theory, Methods and Applications, vol. 159, Elsevier, 2017, pp. 181–207, doi:10.1016/j.na.2017.03.001.","ama":"Fischer JL. Weak–strong uniqueness of solutions to entropy dissipating reaction–diffusion equations. Nonlinear Analysis: Theory, Methods and Applications. 2017;159:181-207. doi:10.1016/j.na.2017.03.001","apa":"Fischer, J. L. (2017). Weak–strong uniqueness of solutions to entropy dissipating reaction–diffusion equations. Nonlinear Analysis: Theory, Methods and Applications. Elsevier. https://doi.org/10.1016/j.na.2017.03.001","ieee":"J. L. Fischer, “Weak–strong uniqueness of solutions to entropy dissipating reaction–diffusion equations,” Nonlinear Analysis: Theory, Methods and Applications, vol. 159. Elsevier, pp. 181–207, 2017.","short":"J.L. Fischer, Nonlinear Analysis: Theory, Methods and Applications 159 (2017) 181–207."},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publist_id":"6975","author":[{"orcid":"0000-0002-0479-558X","full_name":"Fischer, Julian L","last_name":"Fischer","first_name":"Julian L","id":"2C12A0B0-F248-11E8-B48F-1D18A9856A87"}],"title":"Weak–strong uniqueness of solutions to entropy dissipating reaction–diffusion equations","department":[{"_id":"JuFi"}]},{"intvolume":" 178","month":"09","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797705","open_access":"1"}],"scopus_import":1,"pmid":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"Background HIV-1 infection and drug abuse are frequently co-morbid and their association greatly increases the severity of HIV-1-induced neuropathology. While nucleus accumbens (NAcc) function is severely perturbed by drugs of abuse, little is known about how HIV-1 infection affects NAcc. Methods We used calcium and voltage imaging to investigate the effect of HIV-1 trans-activator of transcription (Tat) on rat NAcc. Based on previous neuronal studies, we hypothesized that Tat modulates intracellular Ca2+ homeostasis of NAcc neurons. Results We provide evidence that Tat triggers a Ca2+ signaling cascade in NAcc medium spiny neurons (MSN) expressing D1-like dopamine receptors leading to neuronal depolarization. Firstly, Tat induced inositol 1,4,5-trisphsophate (IP3) receptor-mediated Ca2+ release from endoplasmic reticulum, followed by Ca2+ and Na+ influx via transient receptor potential canonical channels. The influx of cations depolarizes the membrane promoting additional Ca2+ entry through voltage-gated P/Q-type Ca2+ channels and opening of tetrodotoxin-sensitive Na+ channels. By activating this mechanism, Tat elicits a feed-forward depolarization increasing the excitability of D1-phosphatidylinositol-linked NAcc MSN. We previously found that cocaine targets NAcc neurons directly (independent of the inhibition of dopamine transporter) only when IP3-generating mechanisms are concomitantly initiated. When tested here, cocaine produced a dose-dependent potentiation of the effect of Tat on cytosolic Ca2+. Conclusion We describe for the first time a HIV-1 Tat-triggered Ca2+ signaling in MSN of NAcc involving TRPC and depolarization and a potentiation of the effect of Tat by cocaine, which may be relevant for the reward axis in cocaine-abusing HIV-1-positive patients."}],"volume":178,"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["03768716"]},"status":"public","article_type":"original","type":"journal_article","_id":"714","department":[{"_id":"GaNo"}],"date_updated":"2021-01-12T08:12:00Z","oa":1,"publisher":"Elsevier","quality_controlled":"1","acknowledgement":"This work was supported by the National Institutes of Health grants DA035926 (to MEA), and P30DA013429 (to EMU).","date_created":"2018-12-11T11:48:05Z","date_published":"2017-09-01T00:00:00Z","doi":"10.1016/j.drugalcdep.2017.04.015","page":"7 - 14","publication":"Drug and Alcohol Dependence","day":"01","year":"2017","title":"HIV Tat excites D1 receptor-like expressing neurons from rat nucleus accumbens","external_id":{"pmid":["28623807"]},"article_processing_charge":"No","author":[{"first_name":"Gabriela","full_name":"Brailoiu, Gabriela","last_name":"Brailoiu"},{"id":"37A40D7E-F248-11E8-B48F-1D18A9856A87","first_name":"Elena","orcid":"0000-0002-7370-5293","full_name":"Deliu, Elena","last_name":"Deliu"},{"full_name":"Barr, Jeffrey","last_name":"Barr","first_name":"Jeffrey"},{"last_name":"Console Bram","full_name":"Console Bram, Linda","first_name":"Linda"},{"full_name":"Ciuciu, Alexandra","last_name":"Ciuciu","first_name":"Alexandra"},{"full_name":"Abood, Mary","last_name":"Abood","first_name":"Mary"},{"first_name":"Ellen","full_name":"Unterwald, Ellen","last_name":"Unterwald"},{"first_name":"Eugen","last_name":"Brǎiloiu","full_name":"Brǎiloiu, Eugen"}],"publist_id":"6967","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Brailoiu, Gabriela, Elena Deliu, Jeffrey Barr, Linda Console Bram, Alexandra Ciuciu, Mary Abood, Ellen Unterwald, and Eugen Brǎiloiu. “HIV Tat Excites D1 Receptor-like Expressing Neurons from Rat Nucleus Accumbens.” Drug and Alcohol Dependence. Elsevier, 2017. https://doi.org/10.1016/j.drugalcdep.2017.04.015.","ista":"Brailoiu G, Deliu E, Barr J, Console Bram L, Ciuciu A, Abood M, Unterwald E, Brǎiloiu E. 2017. HIV Tat excites D1 receptor-like expressing neurons from rat nucleus accumbens. Drug and Alcohol Dependence. 178, 7–14.","mla":"Brailoiu, Gabriela, et al. “HIV Tat Excites D1 Receptor-like Expressing Neurons from Rat Nucleus Accumbens.” Drug and Alcohol Dependence, vol. 178, Elsevier, 2017, pp. 7–14, doi:10.1016/j.drugalcdep.2017.04.015.","short":"G. Brailoiu, E. Deliu, J. Barr, L. Console Bram, A. Ciuciu, M. Abood, E. Unterwald, E. Brǎiloiu, Drug and Alcohol Dependence 178 (2017) 7–14.","ieee":"G. Brailoiu et al., “HIV Tat excites D1 receptor-like expressing neurons from rat nucleus accumbens,” Drug and Alcohol Dependence, vol. 178. Elsevier, pp. 7–14, 2017.","apa":"Brailoiu, G., Deliu, E., Barr, J., Console Bram, L., Ciuciu, A., Abood, M., … Brǎiloiu, E. (2017). HIV Tat excites D1 receptor-like expressing neurons from rat nucleus accumbens. Drug and Alcohol Dependence. Elsevier. https://doi.org/10.1016/j.drugalcdep.2017.04.015","ama":"Brailoiu G, Deliu E, Barr J, et al. HIV Tat excites D1 receptor-like expressing neurons from rat nucleus accumbens. Drug and Alcohol Dependence. 2017;178:7-14. doi:10.1016/j.drugalcdep.2017.04.015"}}]