Ábel Ságodi

PhD Student in CATNIPLAB at Champalimaud Research, supervised by Memming Park.

abel_sagodi.jpg

Hi, I’m Ábel Ságodi. I am a PhD student at the Champalimaud Centre for the Unknown in Lisbon, working at the intersection of theoretical neuroscience, machine learning, and control theory. With a background in Mathematics, Physics, and Computational Science (MSc & BSc from the University of Amsterdam), I approach the brain as a complex dynamical system. I am fascinated by how biological circuits, despite being noisy and biological, can perform robust computation. I draw inspiration from the philosophy of science to develop an interpretable language for this computation, finding the right mathematical abstractions to understand how the brain actually works.

news

Mar 03, 2026 Our abstract The intractability of difference-making without dynamical systems theory has been accepted for the 8th SURe Workshop! This is joint work with Leon de Bruin and Benjamin Drukarch.
Feb 11, 2026 New preprint out on Universal Approximation Theorems for Dynamical Systems!
Dec 22, 2025 Arthur Liang’s abstract Symmetry-Regularized Learning of Continuous Attractor Dynamics has been accepted as a poster at COSYNE 2026! Congrats Arthur!

selected publications

  1. arXiv
    Dynamical Archetype Analysis: Autonomous Computation
    Ábel Ságodi and I. M. Park
    arXiv preprint arXiv:2507.05505, 2025
  2. NeurIPS
    Back to the Continuous Attractor
    Ábel Ságodi, G. Martin-Sanchez, P. A. Sokól, and I. M. Park
    In Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024