selected works

Papers, conference abstracts, and presentations.

  1. + 2025 Efficient EHR Foundational Models: A Mixture-of-Experts Approach for Patient Timeline Prediction
    Athreya, Matthias P. Christenson, and Warren Pettine
    AI Summit, University of Utah, 2025
  2. + 2024 Assessing Foundation Models’ Transferability to Physiological Signals in Precision Medicine
    Matthias P. Christenson, Cove Geary, Brian Locke, Pranav Koirala, and 1 more author
    AI in Medicine Conference, 2024
  3. + 2024 Hue selectivity from recurrent circuitry in Drosophila
    Matthias P Christenson,  Sanz Dı́ez, Sarah L Heath, Maia Saavedra-Weisenhaus, and 3 more authors
    Nature Neuroscience, 2024
  4. + 2023 Field Casualty Management AI
    Warren Pettine, Matthias P. Christenson, and Pranav Koirala
    Defense TechConnect Conference, 2023
  5. + 2022 Exploiting colour space geometry for visual stimulus design across animals
    Matthias P. Christenson, S. Navid Mousavi, Elie Oriol, Sarah L. Heath, and 1 more author
    Philosophical Transactions of the Royal Society B: Biological Sciences, 2022
  6. + 2021 Flexible filtering by neural inputs supports motion computation across states and stimuli
    Jessica R. Kohn*, Jacob P. Portes*, Matthias P. Christenson, L. F. Abbott, and 1 more author
    Current Biology, 2021
  7. + 2020 Circuit Mechanisms Underlying Chromatic Encoding in Drosophila Photoreceptors
    Sarah L. Heath*, Matthias P. Christenson*, Elie Oriol, Maia Saavedra-Weisenhaus, and 2 more authors
    Current Biology, 2020
  8. + 2020 Linking structure to function in a model of early color processing
    Matthias P. Christenson, Sarah L. Heath, Larry Abbott, and Rudy Behnia
    Computational and Systems Neuroscience Conference, 2020
  9. + 2022 Normative models of spatio-spectral decorrelation predict observed receptor distributions
    Ishani Ganguly*, Matthias P. Christenson*, and Rudy Behnia
    Computational and Systems Neuroscience Conference, 2022
  10. + 2020 Probabilistic circuit model analysis for neural response inference
    Matthias P. Christenson, Rudy Behnia, and Larry Abbott
    Columbia Neurotheory Meeting, 2020
  11. + 2021 Inferring feedforward inputs to data-constrained recurrent neural networks
    Matthias P. Christenson, Rudy Behnia, and Larry Abbott
    Columbia Neurotheory Meeting, 2021