Browsing NTNU Open by Author "Klindt, David"

Now showing items 1-3 of 3

    • Efficient coding of natural scenes improves neural system identification 

      Qiu, Yongrong; Klindt, David; Szatko, Klaudia P.; Gonschorek, Dominic; Hoefling, Larissa; Schubert, Timm; Busse, Laura; Bethge, Matthias; Euler, Thomas (Peer reviewed; Journal article, 2023)
      Neural system identification aims at learning the response function of neurons to arbitrary stimuli using experimentally recorded data, but typically does not leverage normative principles such as efficient coding of natural ...

    • ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results 

      Myers, Adele; Utpala, Saiteja; Talbar, Shubham; Sanborn, Sophia; Shewmake, Christian; Donnat, Claire; Mathe, Johan; Lupo, Umberto; Sonthalia, Rishi; Cui, Xinyue; Szwagier, Tom; Pignet, Arthur; Bergsson, Andri; Hauberg, Søren; Nielsen, Dmitriy; Sommer, Stefan; Klindt, David; Hermansen, Erik; Vaupel, Melvin; Dunn, Benjamin Adric; Xiong, Jeffrey; Aharony, Noga; Noga, Aharony; Pe’er, Itsik; Ambellan, Felix; Hanik, Martin; Nava-Yazdani, Esfandiar; von Tycowicz, Christoph; Miolane, Nina (Peer reviewed; Journal article, 2022)
      This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop “Geometric and Topo- logical Representation Learning”. The competition asked participants ...

    • Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience 

      Gonschorek, Dominic; Höfling, Larissa; Szatko, Klaudia; Franke, Katrin; Schubert, Timm; Dunn, Benjamin Adric; Berens, Phillipp; Klindt, David; Euler, Thomas (Peer reviewed; Journal article, 2021)