Browsing NTNU Open by Author "Cubero, Ryan John Abat"

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    • Action Representation in the Mouse Parieto-Frontal Network 

      Tombaz, Tuce; Dunn, Benjamin Adric; Hovde, Karoline; Cubero, Ryan John Abat; Mimica, Bartul; Mamidanna, Pranav; Roudi, Yasser; Whitlock, Jonathan (Peer reviewed; Journal article, 2020)
      The posterior parietal cortex (PPC) and frontal motor areas comprise a cortical network supporting goal-directed behaviour, with functions including sensorimotor transformations and decision making. In primates, this network ...

    • Common Regulatory Pathways Mediate Activity of MicroRNAs Inducing Cardiomyocyte Proliferation 

      Torrini, Consuelo; Cubero, Ryan John Abat; Dirkx, Ellen; Braga, Luca; Ali, Hashim; Prosdocimo, Giulia; Gutierrez, Maria Ines; Collesi, Chiara; Licastro, Danilo; Zentilin, Lorena; Mano, Miguel; Zacchigna, Serena; Vendruscolo, Michele; Marsili, Matteo; Samal, Areejit; Giacca, Mauro (Journal article; Peer reviewed, 2019)
      Loss of functional cardiomyocytes is a major determinant of heart failure after myocardial infarction. Previous high throughput screening studies have identified a few microRNAs (miRNAs) that can induce cardiomyocyte ...

    • Insights into the quantification and reporting of model-related uncertainty across different disciplines 

      Simmonds, Emily Grace; Dunn-Sigouin, Etienne; Adjei, Kwaku Peprah; Andersen, Christoffer Wold; Aspheim, Janne Cathrin Hetle; Battistin, Claudia; Bulso, Nicola; Christensen, Hannah M.; Cretois, Benjamin; Cubero, Ryan John Abat; Davidovich, Ivan Andres; Dickel, Lisa; Dunn, Benjamin Adric; Dyrstad, Karin; Einum, Sigurd; Giglio, Donata; Gjerløw, Haakon; Godefroidt, Amélie; González-Gil, Ricardo; Gonzalo Cogno, Soledad; Große, Fabian; Halloran, Paul; Jensen, Mari Fjalstad; Kennedy, John James; Langsæther, Peter Egge; Laverick, Jack H; Lederberger, Debora; Li, Camille; Mandeville, Elizabeth G; Mandeville, Caitlin; Moe, Espen; Schröder, Tobias Navarro; Nunan, David; Sicacha-Parada, Jorge; Simpson, Melanie Rae; Skarstein, Emma Sofie; Spensberger, Clemens; Stevens, Richard; Subramanian, Aneesh C.; Svendsen, Lea; Theisen, Ole Magnus; Watret, Connor; O'Hara, Robert B. (Peer reviewed; Journal article, 2022)
      Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world ...

    • Minimum Description Length codes are critical 

      Cubero, Ryan John Abat; Marsili, Matteo; Roudi, Yasser (Journal article; Peer reviewed, 2018)
      In the Minimum Description Length (MDL) principle, learning from the data is equivalent to an optimal coding problem. We show that the codes that achieve optimal compression in MDL are critical in a very precise sense. ...

    • Minimum Description Length Codes Are Critical 

      Cubero, Ryan John Abat; Marsili, Matteo; Roudi, Yasser (Journal article; Peer reviewed, 2018)
      In the Minimum Description Length (MDL) principle, learning from the data is equivalent to an optimal coding problem. We show that the codes that achieve optimal compression in MDL are critical in a very precise sense. ...