publications

2024

  1. Flexible task abstractions emerge in linear networks with fast and bounded units
    NeurIPS Spotlight, 2024
  2. From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
    NeurIPS UniReps Workshop, 2024
  3. Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
    Andrea I. Luppi, Jascha Achterberg, Samuel Schmidgall, Isil Poyraz Bilgin, Peer Herholz, Maximilian Sprang, Benjamin Fockter, Andrew Siyoon Ham, Sushrut Thorat, Rojin Ziaei, Filip Milisav, Alexandra M. Proca, Hanna M. Tolle, Laura E. Suarez, Paul Scotti, and Helena M. Gellersen
    Nature Communications, 2024
  4. Discovering modular solutions that generalize compositionally
    ICLR, 2024
  5. Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
    PLoS Computational Biology, 2024

2021

  1. Jack of All Trades, or Master of One: Information Decomposition Reveals Distinct Features of Generalizable vs. Specialized Neural Representations
    Alexandra M. Proca
    2021

2020

  1. Establishing a Contextual Fear Conditioning Paradigm for the Tat Transgenic Mouse Model
    Alexandra M. Proca
    2020

2018

  1. Inhibitory control deficits in Tat transgenic mice using the Go/No-Go Task
    I. R. Jacobs, D. J. Hermes, A. G. Antonucci, A. B. Ferguson, K. L. Leggette, A. M. Proca, C. B. Russell, C. Manjarres, K. Mackie, A. H. Lichtman, B. Ignatowska-Jankoswka, and S. Fitting
    Journal of Neuroimmune Pharmacology, 2018