Accurate CMOS implementation of PWL CNN neuron activations. - Mauro Forti; Luca Pancioni; Santina Rocchi; Valerio Vignoli (ISCAS (1), 2002)

Positive-Feedback Source-Coupled Logic: a delay model. - Massimo Alioto; Ada Fort; Luca Pancioni; Santina Rocchi; Valerio Vignoli (ISCAS (2), 2004)

Modeling and evaluation of positive-feedback source-coupled logic. - Massimo Alioto; Luca Pancioni; Santina Rocchi; Valerio Vignoli (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

An approach to the design of PFSCL gates. - Massimo Alioto; Ada Fort; Luca Pancioni; Santina Rocchi; Valerio Vignoli (ISCAS (3), 2005)

Complex dynamics in a class of nearly-symmetric competitive CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (ISCAS (5), 2005)

Fourth-Order Nearly-Symmetric CNNs Exhibiting Complex Dynamics. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Int. J. Bifurc. Chaos, 2005)

Analysis and design of MCML gates with hysteresis. - Massimo Alioto; Luca Pancioni; Santina Rocchi; Valerio Vignoli (ISCAS, 2006)

A result on global convergence in finite time for nonsmooth neural networks. - Mauro Forti; Massimo Grazzini; Paolo Nistri; Luca Pancioni (ISCAS, 2006)

Exploiting Hysteresys in MCML Circuits. - Massimo Alioto; Luca Pancioni; Santina Rocchi; Valerio Vignoli (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

A Study on Convergence of Competitive CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Paolo Nistri; Luca Pancioni (ISCAS, 2007)

Global Consistency of Decisions and Convergence of Competitive Cellular Neural Networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Paolo Nistri; Luca Pancioni (Int. J. Bifurc. Chaos, 2007)

Power-Delay-Area-Noise Margin Tradeoffs in Positive-Feedback MOS Current-Mode Logic. - Massimo Alioto; Luca Pancioni; Santina Rocchi; Valerio Vignoli (IEEE Trans. Circuits Syst. I Regul. Pap., 2007)

A study on global robust stability of delayed full-range cellular neural networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (ISCAS, 2008)

On global exponential stability of standard and full-range CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Int. J. Circuit Theory Appl., 2008)

Lyapunov Method and Convergence of the Full-Range Model of CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Paolo Nistri; Luca Pancioni (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Set-valued Derivative and Lyapunov Method for Full-range Cellular Neural Networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (ISCAS, 2009)

Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (EURASIP J. Adv. Signal Process., 2009)

A note on the dichotomy of limit sets for cooperative CNNs with delays. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (ISCAS, 2010)

Limit Set Dichotomy and Convergence of semiflows Defined by Cooperative Standard CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Int. J. Bifurc. Chaos, 2010)

Further results on convergence of cooperative standard cellular neural networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (ISCAS, 2011)

Comparison of convergence and stability properties for the state and output solutions of neural networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni; Amedeo Premoli (Int. J. Circuit Theory Appl., 2011)

Limit Set Dichotomy and Convergence of Cooperative Piecewise Linear Neural Networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (IEEE Trans. Circuits Syst. I Regul. Pap., 2011)

Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks. - Mauro Di Marco; Massimo Grazzini; Luca Pancioni (IEEE Trans. Neural Networks, 2011)

A study on semiflows generated by cooperative full-range CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Paolo Nistri; Luca Pancioni (Int. J. Circuit Theory Appl., 2012)

Łojasiewicz inequality and exponential convergence of the full-range model of CNNs. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Int. J. Circuit Theory Appl., 2012)

Convergence of a Class of Cooperative Standard Cellular Neural Network Arrays. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (IEEE Trans. Circuits Syst. I Regul. Pap., 2012)

Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (IEEE Trans. Neural Networks Learn. Syst., 2012)

Multiple metastable rotating waves and long transients in cooperative CNN rings. - Mauro Di Marco; Mauro Forti; Barnabas Garay; Miklós Koller; Luca Pancioni (ECCTD, 2013)

A 1-bit Physically Unclonable Function based on a two-neurons CNN. - Tommaso Addabbo; Ada Fort; Mauro Di Marco; Luca Pancioni; Valerio Vignoli (ISCAS, 2013)

Physically Unclonable Functions Derived From Cellular Neural Networks. - Tommaso Addabbo; Ada Fort; Mauro Di Marco; Luca Pancioni; Valerio Vignoli (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Neural Networks, 2014)

Long transient oscillations in a class of cooperative cellular neural networks. - Mauro Forti; Barnabas Garay; Miklós Koller; Luca Pancioni (Int. J. Circuit Theory Appl., 2015)

Complete stability of feedback CNNs with dynamic memristors and second-order cells. - Mauro Di Marco; Mauro Forti; Luca Pancioni (Int. J. Circuit Theory Appl., 2016)

Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations. - Mauro Di Marco; Mauro Forti; Paolo Nistri; Luca Pancioni (IEEE Trans. Cybern., 2016)

Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems. - Mauro Di Marco; Mauro Forti; Paolo Nistri; Luca Pancioni (IEEE Trans. Neural Networks Learn. Syst., 2016)

Memristor standard cellular neural networks computing in the flux-charge domain. - Mauro Di Marco; Mauro Forti; Luca Pancioni (Neural Networks, 2017)

Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors. - Mauro Di Marco; Mauro Forti; Luca Pancioni (IEEE Trans. Cybern., 2017)

Multistability of delayed neural networks with hard-limiter saturation nonlinearities. - Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni (Neurocomputing, 2018)

Stability of memristor neural networks with delays operating in the flux-charge domain. - Mauro Di Marco; Mauro Forti; Luca Pancioni (J. Frankl. Inst., 2018)

New Conditions for Global Asymptotic Stability of Memristor Neural Networks. - Mauro Di Marco; Mauro Forti; Luca Pancioni (IEEE Trans. Neural Networks Learn. Syst., 2018)

Feedforward control of multistability in memristor circuits. - Mauro Di Marco; Mauro Forti; Riccardo Moretti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (ICECS, 2021)

Switching dynamics in finite time in memristor Chua's circuit. - Mauro Di Marco; Mauro Forti; Riccardo Moretti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (ISCAS, 2022)

Oscillatory Circuits With a Real Non-Volatile Stanford Memristor Model. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi; Fernando Corinto (IEEE Access, 2022)

New method to analyze the invariant manifolds of memristor circuits. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (J. Frankl. Inst., 2022)

Memristor Neural Networks for Linear and Quadratic Programming Problems. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (IEEE Trans. Cybern., 2022)

Convergence of Discrete-Time Cellular Neural Networks with Application to Image Processing. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Alberto Tesi (Int. J. Bifurc. Chaos, 2023)

Embedding Classic Chaotic Maps in Simple Discrete-Time Memristor Circuits. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (IEEE Access, 2024)

On convergence properties of the brain-state-in-a-convex-domain. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Alberto Tesi (Neural Networks, 2024)

New Class of Discrete-Time Memristor Circuits: First Integrals, Coexisting Attractors and Bifurcations Without Parameters. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Alberto Tesi (Int. J. Bifurc. Chaos, 2024)

Snapback Repellers, Computational Chaos and Extreme Multistability in Discrete-Time Memristor Murali-Lakshmanan-Chua Circuit. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Alberto Tesi (Int. J. Bifurc. Chaos, 2024)

Complete Stability of Neural Networks With Extended Memristors. - Mauro Di Marco; Mauro Forti; Riccardo Moretti; Luca Pancioni; Alberto Tesi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Convergent Weight and Activation Dynamics in Memristor Neural Networks. - Mauro Di Marco; Mauro Forti; Luca Pancioni; Giacomo Innocenti; Alberto Tesi (CoRR, 2025)