2022
DOI: 10.1007/s11071-022-07268-y
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A tristable locally active memristor and its application in Hopfield neural network

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Cited by 104 publications
(29 citation statements)
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“…[13][14][15][16] The prominent characteristics with chaotic systems are their sensitivity to the initial parameters, pseudo-randomness, [17] which provides a lot of inspiration and ideas for designs of IE algorithms. Chaotic systems of different forms behave differently in terms of dynamics, [18][19][20][21][22][23][24] and selecting a suitable chaotic system for IE algorithms is an important part of securing the algorithm. Among them, chaotic maps are of great interest because of their simple structure and complex properties.…”
Section: Introductionmentioning
confidence: 99%
“…[13][14][15][16] The prominent characteristics with chaotic systems are their sensitivity to the initial parameters, pseudo-randomness, [17] which provides a lot of inspiration and ideas for designs of IE algorithms. Chaotic systems of different forms behave differently in terms of dynamics, [18][19][20][21][22][23][24] and selecting a suitable chaotic system for IE algorithms is an important part of securing the algorithm. Among them, chaotic maps are of great interest because of their simple structure and complex properties.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of neural networks [ 6 , 7 , 8 ], memristor has become one of the important ways to realize neural network circuits [ 9 , 10 ]. Due to its ability to hysterically change its resistance in response to previously applied electrical stimuli [ 11 , 12 ], the memristor has attracted considerable interest in various hypothetical applications, such as nonvolatile memories [ 13 , 14 ], logic gates [ 15 , 16 , 17 ], hybrid logic/memory circuits [ 18 , 19 , 20 ], and neuromorphic computing [ 21 , 22 , 23 , 24 , 25 ]. In addition, the unique features of this device have stimulated interest in generating nonlinear and chaotic dynamics [ 26 , 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the simple chaotic system, the hyperchaotic system has more complex structure. Since then, the hyperchaotic system has attracted great attention of researchers and has been widely used in cryptography [26][27][28], neural network [29][30][31] and image encryption [32][33][34], and so on. For example, in recent years, it has become one of the digital image encryption methods to construct chaotic sequences based on chaotic signals generated by chaotic systems and corresponding encoding methods [35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%