10 citations · 10 across the 3 of their papers we have counts for
5 papers · 1 filter
Employing Vector Field Techniques on the Analysis of Memristor Cellular Nonlinear Networks Cell Dynamics
Chandan Singh, Vasileios Ntinas, Dimitrios Prousalis +7
This paper introduces an innovative graphical analysis tool for investigating the dynamics of Memristor Cellular Nonlinear Networks (M-CNNs) featuring 2nd-order processing elements…
Probabilistic Resistive Switching Device modeling based on Markov Jump processes
Vasileios Ntinas, Antonio Rubio, Georgios Ch. Sirakoulis
In this work, a versatile mathematical framework for multi-state probabilistic modeling of Resistive Switching (RS) devices is proposed for the first time. The mathematical formula…
Versatile Filamentary Resistive Switching Model
Iosif-Angelos Fyrigos, Vasileios Ntinas, Georgios Ch. Sirakoulis +2
Memristors as emergent nano-electronic devices have been successfully fabricated and used in non-conventional and neuromorphic computing systems in the last years. Several behavior…
Memristive Learning Cellular Automata: Theory and Applications
Rafailia-Eleni Karamani, Iosif-Angelos Fyrigos, Vasileios Ntinas +6
Memristors are novel non volatile devices that manage to combine storing and processing capabilities in the same physical place.Their nanoscale dimensions and low power consumption…
Memristive oscillatory circuits for resolution of NP-complete logic puzzles: Sudoku case
Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Rafailia-Eleni Karamani +4
Memristor networks are capable of low-power and massive parallel processing and information storage. Moreover, they have presented the ability to apply for a vast number of intelli…