Vemund Sigmundson Schøyen

Doctoral Research Fellow - Section for Physiology and Cell Biology
Image of Vemund Sigmundson Schøyen
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Email v.s.schoyen@ibv.uio.no
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Visiting address Blindernveien 31 0371 Oslo
Postal address Postboks 1066 Blindern 0316 Oslo
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic Interests

Computational Neuroscience

Background

Master's degree in Informatics: Robotics and Intelligent Systems, University of Oslo, 2020

Tags: Deep Learning, Neural Networks, Computational Neuroscience

Publications

  • Schøyen, Vemund Sigmundson; Pettersen, Markus Borud; Holzhausen, Konstantin; Fyhn, Marianne; Malthe-Sørenssen, Anders & Lepperød, Mikkel Elle (2023). Coherently remapping toroidal cells but not Grid cells are responsible for path integration in virtual agents. iScience. ISSN 2589-0042. 26(11), p. 1–17. doi: 10.1016/j.isci.2023.108102. Full text in Research Archive

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  • Schøyen, Vemund Sigmundson; Pettersen, Markus Borud; Holzhousen, Konstantin; Fyhn, Marianne; Malthe-Sørenssen, Anders & Elle Lepperød, Mikkel (2022). Coherently Remapping Toroidal Cells But Not Grid Cells are Responsible for Path Integration in Virtual Agents. bioRxiv. ISSN 2692-8205. doi: 10.1101/2022.08.18.504379.
  • Thon, Sarah Kriebel; Christensen, Ane Charlotte; Fjeldstad, Maria P; Schøyen, Vemund Sigmundson; Olsen, Elise Reppe & Lepperød, Mikkel Elle [Show all 8 contributors for this article] (2022). Social and spatial codes in hippocampus CA2 and entorhinal cortex.
  • Schøyen, Vemund Sigmundson; Hagen, Per Espen; Midtgaard, Øivind & Warakagoda, Narada Dilp (2022). Automatic Detection of Seafloor Pipelines with Deep Learning. Hydro International. ISSN 1385-4569. 26(1), p. 10–13.
  • Schøyen, Vemund Sigmundson; Warakagoda, Narada Dilp & Midtgaard, Øivind (2021). Seafloor Pipeline Detection With Deep Learning.

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Published Oct. 2, 2020 11:23 AM - Last modified Dec. 4, 2020 2:29 PM

Research groups