Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "PLoS Computational Biology"

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    • 150 Years of the Mass Action Law 

      Voit, Eberhard; Martens, Harald; Omholt, Stig William (Journal article; Peer reviewed, 2015)
      This year we celebrate the 150th anniversary of the law of mass action. This law is often assumed to have been “there” forever, but it has its own history, background, and a definite starting point. The law has had an ...

    • 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 ...

    • Inferring feature importance with uncertainties with application to large genotype data 

      Johnsen, Pål Vegard; Strumke, Inga; Langaas, Mette; DeWan, Andrew Thomas; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)
      Estimating feature importance, which is the contribution of a prediction or several predictions due to a feature, is an essential aspect of explaining data-based models. Besides explaining the model itself, an equally ...

    • Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills 

      Ellefsen, Kai Olav; Mouret, Jean-Baptiste; Clune, Jeff (Journal article; Peer reviewed, 2015)
      A long-standing goal in artificial intelligence is creating agents that can learn a variety of different skills for different problems. In the artificial intelligence subfield of neural networks, a barrier to that goal is ...