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ORCIDLuca Pancioni
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- affiliation: Università degli Studi di Siena, Italy
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Journal Articles
- 2024
[j34]Mauro Di Marco
, Mauro Forti, Luca Pancioni, Alberto Tesi:
New Class of Discrete-Time Memristor Circuits: First Integrals, Coexisting Attractors and Bifurcations Without Parameters. Int. J. Bifurc. Chaos 34(1): 2450001:1-2450001:26 (2024)- [j33]Mauro Di Marco, Mauro Forti, Luca Pancioni, Alberto Tesi:
On convergence properties of the brain-state-in-a-convex-domain. Neural Networks 178: 106481 (2024) - 2023
- [j32]Mauro Di Marco, Mauro Forti, Luca Pancioni, Alberto Tesi:
Convergence of Discrete-Time Cellular Neural Networks with Application to Image Processing. Int. J. Bifurc. Chaos 33(10): 2350115:1-2350115:25 (2023) - 2022
- [j31]Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi, Fernando Corinto:
Oscillatory Circuits With a Real Non-Volatile Stanford Memristor Model. IEEE Access 10: 13650-13662 (2022) - [j30]Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi:
New method to analyze the invariant manifolds of memristor circuits. J. Frankl. Inst. 359(18): 11007-11038 (2022) - [j29]Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi:
Memristor Neural Networks for Linear and Quadratic Programming Problems. IEEE Trans. Cybern. 52(3): 1822-1835 (2022) - 2018
- [j28]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Multistability of delayed neural networks with hard-limiter saturation nonlinearities. Neurocomputing 293: 41-54 (2018) - [j27]Mauro Di Marco, Mauro Forti, Luca Pancioni:
Stability of memristor neural networks with delays operating in the flux-charge domain. J. Frankl. Inst. 355(12): 5135-5162 (2018) - [j26]Mauro Di Marco, Mauro Forti, Luca Pancioni:
New Conditions for Global Asymptotic Stability of Memristor Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1822-1834 (2018) - 2017
- [j25]Mauro Di Marco, Mauro Forti, Luca Pancioni:
Memristor standard cellular neural networks computing in the flux-charge domain. Neural Networks 93: 152-164 (2017) - [j24]Mauro Di Marco, Mauro Forti, Luca Pancioni:
Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors. IEEE Trans. Cybern. 47(10): 2970-2983 (2017) - 2016
- [j23]Mauro Di Marco, Mauro Forti, Luca Pancioni:
Complete stability of feedback CNNs with dynamic memristors and second-order cells. Int. J. Circuit Theory Appl. 44(11): 1959-1981 (2016) - [j22]Mauro Di Marco, Mauro Forti, Paolo Nistri, Luca Pancioni:
Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations. IEEE Trans. Cybern. 46(11): 2509-2520 (2016) - [j21]Mauro Di Marco, Mauro Forti, Paolo Nistri, Luca Pancioni:
Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems. IEEE Trans. Neural Networks Learn. Syst. 27(2): 295-307 (2016) - 2015
- [j20]Mauro Forti, Barnabas Garay, Miklós Koller, Luca Pancioni:
Long transient oscillations in a class of cooperative cellular neural networks. Int. J. Circuit Theory Appl. 43(5): 635-655 (2015) - 2014
- [j19]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube. Neural Networks 54: 38-48 (2014) - 2013
- [j18]Tommaso Addabbo, Ada Fort, Mauro Di Marco, Luca Pancioni, Valerio Vignoli:
Physically Unclonable Functions Derived From Cellular Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(12): 3205-3214 (2013) - [j17]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(12): 3227-3238 (2013) - 2012
- [j16]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Łojasiewicz inequality and exponential convergence of the full-range model of CNNs. Int. J. Circuit Theory Appl. 40(4): 409-419 (2012) - [j15]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Paolo Nistri, Luca Pancioni:
A study on semiflows generated by cooperative full-range CNNs. Int. J. Circuit Theory Appl. 40(12): 1191-1208 (2012) - [j14]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Convergence of a Class of Cooperative Standard Cellular Neural Network Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(4): 772-783 (2012) - [j13]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays. IEEE Trans. Neural Networks Learn. Syst. 23(9): 1473-1485 (2012) - 2011
- [j12]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni, Amedeo Premoli:
Comparison of convergence and stability properties for the state and output solutions of neural networks. Int. J. Circuit Theory Appl. 39(7): 751-774 (2011) - [j11]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Limit Set Dichotomy and Convergence of Cooperative Piecewise Linear Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(5): 1052-1062 (2011) - [j10]Mauro Di Marco, Massimo Grazzini, Luca Pancioni:
Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks. IEEE Trans. Neural Networks 22(4): 666-671 (2011) - 2010
- [j9]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Limit Set Dichotomy and Convergence of semiflows Defined by Cooperative Standard CNNs. Int. J. Bifurc. Chaos 20(11): 3549-3563 (2010) - 2009
- [j8]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks. EURASIP J. Adv. Signal Process. 2009 (2009) - 2008
- [j7]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
On global exponential stability of standard and full-range CNNs. Int. J. Circuit Theory Appl. 36(5-6): 653-680 (2008) - [j6]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Paolo Nistri, Luca Pancioni:
Lyapunov Method and Convergence of the Full-Range Model of CNNs. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(11): 3528-3541 (2008) - 2007
- [j5]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Paolo Nistri, Luca Pancioni:
Global Consistency of Decisions and Convergence of Competitive Cellular Neural Networks. Int. J. Bifurc. Chaos 17(9): 3127-3150 (2007) - [j4]Massimo Alioto, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Power-Delay-Area-Noise Margin Tradeoffs in Positive-Feedback MOS Current-Mode Logic. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(9): 1916-1928 (2007) - 2006
- [j3]Massimo Alioto, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Exploiting Hysteresys in MCML Circuits. IEEE Trans. Circuits Syst. II Express Briefs 53-II(11): 1170-1174 (2006) - 2005
- [j2]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Fourth-Order Nearly-Symmetric CNNs Exhibiting Complex Dynamics. Int. J. Bifurc. Chaos 15(5): 1579-1587 (2005) - 2004
- [j1]Massimo Alioto, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Modeling and evaluation of positive-feedback source-coupled logic. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(12): 2345-2355 (2004)
Conference and Workshop Papers
- 2022
- [c15]Mauro Di Marco, Mauro Forti, Riccardo Moretti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi:
Switching dynamics in finite time in memristor Chua's circuit. ISCAS 2022: 1102-1106 - 2021
- [c14]Mauro Di Marco, Mauro Forti, Riccardo Moretti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi:
Feedforward control of multistability in memristor circuits. ICECS 2021: 1-6 - 2013
- [c13]Mauro Di Marco, Mauro Forti, Barnabas Garay, Miklós Koller, Luca Pancioni:
Multiple metastable rotating waves and long transients in cooperative CNN rings. ECCTD 2013: 1-4 - [c12]Tommaso Addabbo, Ada Fort, Mauro Di Marco, Luca Pancioni, Valerio Vignoli:
A 1-bit Physically Unclonable Function based on a two-neurons CNN. ISCAS 2013: 2529-2532 - 2011
- [c11]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Further results on convergence of cooperative standard cellular neural networks. ISCAS 2011: 2161-2164 - 2010
- [c10]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
A note on the dichotomy of limit sets for cooperative CNNs with delays. ISCAS 2010: 2035-2038 - 2009
- [c9]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Set-valued Derivative and Lyapunov Method for Full-range Cellular Neural Networks. ISCAS 2009: 2705-2708 - 2008
- [c8]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
A study on global robust stability of delayed full-range cellular neural networks. ISCAS 2008: 1368-1371 - 2007
- [c7]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Paolo Nistri, Luca Pancioni:
A Study on Convergence of Competitive CNNs. ISCAS 2007: 3155-3158 - 2006
- [c6]Massimo Alioto, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Analysis and design of MCML gates with hysteresis. ISCAS 2006 - [c5]Mauro Forti, Massimo Grazzini, Paolo Nistri, Luca Pancioni:
A result on global convergence in finite time for nonsmooth neural networks. ISCAS 2006 - 2005
- [c4]Massimo Alioto, Ada Fort, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
An approach to the design of PFSCL gates. ISCAS (3) 2005: 2437-2440 - [c3]Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Complex dynamics in a class of nearly-symmetric competitive CNNs. ISCAS (5) 2005: 4677-4680 - 2004
- [c2]Massimo Alioto, Ada Fort, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Positive-Feedback Source-Coupled Logic: a delay model. ISCAS (2) 2004: 641-644 - 2002
- [c1]Mauro Forti, Luca Pancioni, Santina Rocchi, Valerio Vignoli:
Accurate CMOS implementation of PWL CNN neuron activations. ISCAS (1) 2002: 221-224
Editorship
- 2018
- [e1]Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11081, Springer 2018, ISBN 978-3-319-99977-7 [contents]
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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