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Publications of S. Betteti
Thesis
  1. S. Betteti. Associative Memory and Recurrent Neural Networks: A Dynamical Systems Approach. PhD thesis, Information Engineering Department, Università di Padova, Italy, February 2026. Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks, Theoretical Neuroscience. [bibtex-entry]


Articles in journal, book chapters
  1. Y. Kawano, S. Betteti, A. Davydov, and F. Bullo. Incremental input-to-state stability and equilibrium tracking for stochastic contracting dynamics. IEEE Transactions on Automatic Control, 2026. Note: Submitted. Keyword(s): Contraction Theory. [bibtex-entry]


  2. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval. Neural Computation, pp 1-32, 08 2025. Keyword(s): Neural Networks, Theoretical Neuroscience. [bibtex-entry]


  3. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks. Science Advances, 11(17), 2025. Keyword(s): Neural Networks, Theoretical Neuroscience. [bibtex-entry]


  4. S. Betteti and F. Bullo. Contraction and Concentration of Measures with Applications to Theoretical Neuroscience. Automatica, April 2025. Note: Submitted. Keyword(s): Contraction Theory, Theoretical Neuroscience. [bibtex-entry]


  5. S. Betteti, W. Retnaraj, A. Davydov, J. Cortes, and F. Bullo. Competition, Stability, and Functionality in Excitatory-Inhibitory Neural Circuits. Technical report, 2025. Note: ArXiv:2512.05252. Keyword(s): Neural Networks. [bibtex-entry]



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