2026

  1. May 2026
    arXiv
    Santiago Galella, Pamela Osuna-Vargas, Maren Wehrheim, Martina G. Vilas, Gemma Roig, and Matthias Kaschube
    A synthetic 3D dataset for probing what vision models represent, with full control over the scene.
    arXiv preprint arXiv:2605.20549
    MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space
  2. May 2026
    bioRxiv
    Contributing author
    Jens-Bastian Eppler, Santiago Galella, Gabriel C. Mel, and Alex Roxin
    Random connectivity keeps the similarity structure of neural representations stable, even as synapses keep changing.
    bioRxiv
    Random Network Structure Stabilizes Neural Manifolds

2025

  1. Dec 2025
    NeurIPS
    Santiago Galella, Maren Wehrheim, and Matthias Kaschube
    Representations become higher-dimensional along the human visual hierarchy, but collapse in the later layers of deep vision models, limiting their semantic generalization.
    Advances in Neural Information Processing Systems (NeurIPS)
    Dimensionality Mismatch Between Brains and Artificial Neural Networks

2024

  1. 2024
    bioRxiv
    Santiago Galella and Salva Ardid
    Context biases shape shared internal representations in networks that switch between tasks.
    bioRxiv
    Internal Neural Representations in Task Switching Guided by Context Biases

2020

  1. Jun 2020
    Chaos
    Miguel A. Casal*, Santiago Galella*, Oscar Vilarroya, and Jordi Garcia-Ojalvo * Equal contribution
    The recurrent neural network of C. elegans can support long-term memory without changes in its wiring.
    Chaos: An Interdisciplinary Journal of Nonlinear Science
    Soft-Wired Long-Term Memory in a Natural Recurrent Neuronal Network