Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. - Ivilin Peev Stoianov; Marco Zorzi; Suzanna Becker; Carlo Umilta (ICANN, 2002)

Searching for Emergent Representations in Evolved Dynamical Systems. - Thomas Hope; Ivilin Peev Stoianov; Marco Zorzi (SAB, 2006)

Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models. - Thomas Hope; Ivilin Peev Stoianov; Marco Zorzi (Cogn. Sci., 2010)

Parallelization of Deep Networks. - Michele De Filippo De Grazia; Ivilin Peev Stoianov; Marco Zorzi (ESANN, 2012)

Assessment of sequential Boltmann machines on a lexical processing task. - Alberto Testolin; Alessandro Sperduti; Ivilin Peev Stoianov; Marco Zorzi (ESANN, 2012)

Learning Orthographic Structure With Sequential Generative Neural Networks. - Alberto Testolin; Ivilin Peev Stoianov; Alessandro Sperduti; Marco Zorzi (Cogn. Sci., 2016)

Prefrontal Goal Codes Emerge as Latent States in Probabilistic Value Learning. - Ivilin Peev Stoianov; Aldo Genovesio; Giovanni Pezzulo (J. Cogn. Neurosci., 2016)

Model-Based Approaches to Active Perception and Control. - Giovanni Pezzulo; Francesco Donnarumma; Pierpaolo Iodice; Domenico Maisto; Ivilin Peev Stoianov (Entropy, 2017)

Model-based spatial navigation in the hippocampus-ventral striatum circuit: A computational analysis. - Ivilin Peev Stoianov; Cyriel M. A. Pennartz; Carien Lansink; Giovanni Pezzulo (PLoS Comput. Biol., 2018)

Intention Modulation for Multi-step Tasks in Continuous Time Active Inference. - Matteo Priorelli; Ivilin Peev Stoianov (IWAI, 2022)

Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference. - Matteo Priorelli; Ivilin Peev Stoianov (IWAI, 2023)

Flexible intentions: An Active Inference theory. - Matteo Priorelli; Ivilin Peev Stoianov (Frontiers Comput. Neurosci., 2023)

Learning and Embodied Decisions in Active Inference. - Matteo Priorelli; Ivilin Peev Stoianov; Giovanni Pezzulo (IWAI, 2024)

Hierarchical hybrid modeling for flexible tool use. - Matteo Priorelli; Ivilin Peev Stoianov (CoRR, 2024)

Modeling Motor Control in Continuous Time Active Inference: A Survey. - Matteo Priorelli; Federico Maggiore; Antonella Maselli; Francesco Donnarumma; Domenico Maisto; Francesco Mannella; Ivilin Peev Stoianov; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2024)

Dynamic planning in hierarchical active inference. - Matteo Priorelli; Ivilin Peev Stoianov (Neural Networks, 2025)