publications

2025

  1. Deep hybrid models: infer and plan in a dynamic world
    Matteo Priorelli, and Ivilin Peev Stoianov
    Entropy, 2025
  2. Dynamic planning in hierarchical active inference
    Matteo Priorelli, and Ivilin Peev Stoianov
    Neural Networks, Jan 2025
  3. Learning and Embodied Decisions in Active Inference
    Matteo Priorelli, Ivilin Peev Stoianov, and Giovanni Pezzulo
    In Active Inference, Jan 2025

2024

  1. Slow but flexible or fast but rigid? Discrete and continuous processes compared
    Matteo Priorelli, and Ivilin Peev Stoianov
    Heliyon, Oct 2024
  2. Embodied decisions as active inference
    Matteo Priorelli, Ivilin Peev Stoianov, and Giovanni Pezzulo
    bioRxiv, Jun 2024

2023

  1. Flexible Intentions : An Active Inference Theory
    Matteo Priorelli, and Ivilin Peev Stoianov
    Frontiers in Computational Neuroscience, Jun 2023
  2. Intention Modulation for Multi-step Tasks in Continuous Time Active Inference
    Matteo Priorelli, and Ivilin Peev Stoianov
    Communications in Computer and Information Science, Jun 2023
  3. Active Vision in Binocular Depth Estimation: A Top-Down Perspective
    Matteo Priorelli, Giovanni Pezzulo, and Ivilin Peev Stoianov
    Biomimetics, Jun 2023
  4. Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference
    Matteo Priorelli, and Ivilin Peev Stoianov
    Springer Nature Switzerland, Jun 2023
  5. Deep kinematic inference affords efficient and scalable control of bodily movements
    Matteo Priorelli, Giovanni Pezzulo, and Ivilin Peev Stoianov
    PNAS, Jun 2023
  6. Modeling motor control in continuous-time Active Inference: a survey
    Matteo Priorelli, Federico Maggiore, Antonella Maselli, and 5 more authors
    IEEE Transactions on Cognitive and Developmental Systems, Jun 2023
  7. Dynamic Inference by Model Reduction
    Matteo Priorelli, and Ivilin P Stoianov
    bioRxiv, Jun 2023
  8. Neural representation in active inference: using generative models to interact with – and understand – the lived world
    Giovanni Pezzulo, Leo D’Amato, Francesco Mannella, and 4 more authors
    Annals of the New York Academy of Sciences, Jun 2023