Matteo Priorelli

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I am a PhD student at Sapienza University of Rome, working on neurocomputational modeling and supervised by Giovanni Pezzulo, in collaboration with the Institute of Cognitive Sciences and Technologies (National Reseach Council of Italy).

My interests lie at the intersection of theoretical neuroscience and machine learning. My goal is to understand how cognition emerges from neural structures and how it can be replicated to build intelligent agents.

My current research is based on predictive coding, active inference, and Bayesian approaches. My latest projects contain some proposals on dynamic goal-directed behavior in active inference.

These are Daniel from The Karate Kid and Neo from The Matrix:

latest posts

selected publications

  1. Deep kinematic inference affords efficient and scalable control of bodily movements
    Matteo Priorelli, Giovanni Pezzulo, and Ivilin Peev Stoianov
    PNAS, 2023
  2. Dynamic Inference by Model Reduction
    Matteo Priorelli, and Ivilin P Stoianov
    bioRxiv, 2023
  3. Deep hybrid models: infer and plan in a dynamic world
    Matteo Priorelli, and Ivilin Peev Stoianov
    Entropy, 2025
  4. Embodied decisions as active inference
    Matteo Priorelli, Ivilin Peev Stoianov, and Giovanni Pezzulo
    bioRxiv, Jun 2024