Publications

Journal publications

• Betteti S., Baggio G., Bullo F., and Zampieri S. (2025), “Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval”, Neural Computation.
• Betteti S., Baggio, G., Bullo F., and Zampieri, S. (2025), “Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks”, Science Advances 11(17).

Conference publications

• Betteti S., Martin M., Pedersen M.G., Zampieri S. and Baggio G (2026), Memory Flows: Geometry and Dynamics of Sequential Retrieval in Input-Driven Hopfield Networks, NeurIPS 2026 (Accepted).
• Betteti S., and Laurenti L. (2026), “Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Hamiltonian Dynamics”, 2026 65th IEEE Conference on Decision and Control (Accepted).
• Retnaraj W., Betteti S., Davydov A., Bullo F., and Cortes J. (2026), “Timescale Limits of Linear-Threshold Networks”, 2026 65th IEEE Conference on Decision and Control (Accepted).
• Betteti, S., Baggio, G., and Zampieri, S. (2024), “On the capacity of continuous-time Hopfield models”, 2024 63rd IEEE Conference on Decision and Control.

Pre-prints

• Betteti S., Lahijanian M., and Laurenti L. (2026), “Safe-by-Design Learning via Energy-Based Neural Networks”, arXiv (under review).
• Kawano Y., Betteti S., Davydov A., and Bullo F. (2026), “Incremental Input-to-State Stability and Equilibrium Tracking for Stochastic Contracting Dynamics”, arXiv (under review).
• Betteti S., Retnaraj W., Davydov A., Cortes J., and Bullo F. (2025), “Competition, stability, and functionality in excitatory-inhibitory neural circuits”, arXiv (under review).
• Betteti S., and Bullo, F. (2025), “Contraction and concentration of measures with applications to theoretical neuroscience”, arXiv (under review).

Abstracts and workshops

• Betteti S., Baggio G., and Zampieri S. (2026), “A Dynamical Theory of Sequential Retrieval in Input-Driven Hopfield Networks”, New Frontiers in Associative Memory, ICLR - Rio De Janeiro, BR.
• Betteti S., Baggio G., and Zampieri S. (2024), “Design and Stability of Dynamical Memory Networks: From Hopfield to Firing Rate Models”, Automatica - Bolzano, IT.

Thesis

• Simone Betteti (2026), “Associative memory and recurrent neural networks: a dynamical systems approach”
• Simone Betteti (2022), “The Relationship between Multiscale Relevance and Network Properties in Simple Neural Networks of the Cortex”.
• Simone Betteti (2019), “Structure development in dynamically pruned artificial neural networks”.