by Jun Hyeok Lim, Joon Young Choi, Yunjoo Im, Hongseok Yoo, Byung Woo Jhun, Byeong-Ho Jeong, Hye Yun Park, Kyungjong Lee, Hojoong Kim, O Jung Kwon, Joungho Han, Myung-Ju Ahn, Jhingook Kim, Sang-Won Um
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by Morten Øvervoll, Ilaria Schettino, Hikaru Suzuki, Matia Okubo, Bruno Laeng
by Monserrat López-Sanmartín, Gaetano Catanese, Amalia Grau, José María Valencia, Jose Rafa García-March, José Ignacio Navas
by Arthur H. P. Mawuntu, Edison Johar, Riane Anggraeni, Feliana Feliana, Janno B. B. Bernadus, Dodi Safari, Frilasita A. Yudhaputri, Rama Dhenni, Yora P. Dewi, Cecilia Kato, Ann M. Powers, Ronald Rosenberg, Amin Soebandrio, Khin S. A. Myint
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by David M. Poché, Hsiao-Hsuan Wang, William E. Grant
BackgroundVisceral leishmaniasis (VL) is a deadly disease transmitted by the sand fly Phlebotomus argentipes on the Indian subcontinent, with a promising means of vector control being orally treating cattle with fipronil-based drugs. While prior research investigating the dynamic relationship between timing of fipronil-based control schemes and the seasonality of sand flies provides insights into potential of treatment on a large scale, ecological uncertainties remain. Читать дальше...
by Roumaissa Gherbi, Mustapha Bounechada, Maria Stefania Latrofa, Giada Annoscia, Viviana Domenica Tarallo, Filipe Dantas-Torres, Domenico Otranto
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by Zeng Li, Joar Esteban Pinto Torres, Julie Goossens, Benoit Stijlemans, Yann G.-J. Sterckx, Stefan Magez
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by Haoqiu Wang, Chao Yang, Zhou Sun, Wei Zheng, Wei Zhang, Hua Yu, Yarong Wu, Xavier Didelot, Ruifu Yang, Jingcao Pan, Yujun Cui
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by Elena Sulleiro, Aroa Silgado, Núria Serre-Delcor, Fernando Salvador, Maykon Tavares de Oliveira, Zaira Moure, Augusto Sao-Aviles, Inés Oliveira, Begoña Treviño, Lidia Goterris, Adrián Sánchez-Montalvá, Diana Pou, Israel Molina, Tomàs Pumarola
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by Izaskun Alejo-Cancho, Jessica Navero-Castillejos, Aida Peiró-Mestres, Rosa Albarracín, Josep Barrachina, Alexander Navarro, Verónica Gonzalo, Víctor Pastor, José Muñoz, Miguel J. Martínez
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by Vladimíra Kantorová, Mark C. Wheldon, Philipp Ueffing, Aisha N. Z. Dasgupta
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by Leanne Hassett, Maayken van den Berg, Richard I. Lindley, Maria Crotty, Annie McCluskey, Hidde P. van der Ploeg, Stuart T. Smith, Karl Schurr, Kirsten Howard, Maree L. Hackett, Maggie Killington, Bert Bongers, Leanne Togher, Daniel Treacy, Simone Dorsch, Siobhan Wong, Katharine Scrivener, Sakina Chagpar, Heather Weber, Marina Pinheiro, Stephane Heritier, Catherine Sherrington
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by Takashi Akagi, Kenta Shirasawa, Hideki Nagasaki, Hideki Hirakawa, Ryutaro Tao, Luca Comai, Isabelle M. Henry
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by Braveen B. Joseph, Yu Wang, Phil Edeen, Vladimir Lažetić, Barth D. Grant, David S. Fay
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by Ana Sofia Brito, Benjamin Neuhäuser, René Wintjens, Anna Maria Marini, Mélanie Boeckstaens
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by Bruno J. Neves, Rodolpho C. Braga, Vinicius M. Alves, Marília N. N. Lima, Gustavo C. Cassiano, Eugene N. Muratov, Fabio T. M. Costa, Carolina Horta Andrade
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by W. Jeffrey Johnston, Stephanie E. Palmer, David J. Freedman
Neuronal activity in the brain is variable, yet both perception and behavior are generally reliable. How does the brain achieve this? Here, we show that the conjunctive coding of multiple stimulus features, commonly known as nonlinear mixed selectivity, may be used by the brain to support reliable information transmission using unreliable neurons. Nonlinearly mixed feature representations have been observed throughout primary sensory, decision-making, and motor brain areas. Читать дальше...
by Jong Hoon Lee, Xiaoqin Wang, Daniel Bendor
In primary auditory cortex, slowly repeated acoustic events are represented temporally by the stimulus-locked activity of single neurons. Single-unit studies in awake marmosets (Callithrix jacchus) have shown that a sub-population of these neurons also monotonically increase or decrease their average discharge rate during stimulus presentation for higher repetition rates. Building on a computational single-neuron model that generates stimulus-locked... Читать дальше...
by Aleksandr Kovaltsuk, Matthew I. J. Raybould, Wing Ki Wong, Claire Marks, Sebastian Kelm, James Snowden, Johannes Trück, Charlotte M. Deane
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by Chieh Lin, Jun Ding, Ziv Bar-Joseph
Methods for the analysis of time series single cell expression data (scRNA-Seq) either do not utilize information about transcription factors (TFs) and their targets or only study these as a post-processing step. Using such information can both, improve the accuracy of the reconstructed model and cell assignments, while at the same time provide information on how and when the process is regulated. We developed the Continuous-State Hidden Markov Models... Читать дальше...
by Andrei Zinovyev, Urszula Czerwinska, Laura Cantini, Emmanuel Barillot, Klaus M. Frahm, Dima L. Shepelyansky
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by Lauren A. Castro, Trevor Bedford, Lauren Ancel Meyers
Influenza A/H3N2 is a rapidly evolving virus which experiences major antigenic transitions every two to eight years. Anticipating the timing and outcome of transitions is critical to developing effective seasonal influenza vaccines. Using a published phylodynamic model of influenza transmission, we identified indicators of future evolutionary success for an emerging antigenic cluster and quantified fundamental trade-offs in our ability to make such predictions. Читать дальше...