An SBT-memristor-based crossbar memory circuit*

Guo, Mei; Liu, Ren-Yuan; Dou, Ming-Long; Dou, Gang

doi:10.1088/1674-1056/abd7dc

Cited by 17 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Memristors are non-volatile at a nanoscale dimension, and have been proposed as a solution to in-memory computing architectures. Moreover, the integration density and power consumption of memristor-based integrated circuits have demonstrated potentially more promising performance metrics across a variety of domains, including digital logic circuits [4], chaotic circuits [5], non-volatile memories [6], and artificial neural networks [7].…”

Section: Introductionmentioning

confidence: 99%

A memristor crossbar based on a novel ternary memristor model

Wang,

Zhou,

Dong

et al. 2024

Nonlinear Dyn

View full text Add to dashboard Cite

In this paper, a high-density programmable logic array based on a ternary memristor crossbar array is designed. Based on the three-valued state characteristics of the ternary memristor, we implement the ternary-OR logic gate and a standard ternary inverter to demonstrate the application of this proposed crossbar by using reconfigurable and programmable connections of the memristor cells in the array. Subsequently, on the basis of these logic gates, ternary NAND gates, NOR gates, XOR gates and XNOR gates are further realized. The above-mentioned logic gates all use memristance as the logic state variable. SPICE simulations are conducted to verify the functionality of the programmable gate array based on the proposed ternary memristor crossbar.

show abstract

Section: Introductionmentioning

confidence: 99%

A memristor crossbar based on a novel ternary memristor model

Wang,

Zhou,

Dong

et al. 2024

Nonlinear Dyn

View full text Add to dashboard Cite

show abstract

“…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%

RC Bridge Oscillation Memristor Chaotic Circuit for Electrical and Electronic Technology Extended Simulation Experiment

et al. 2023

Self Cite

View full text Add to dashboard Cite

The fourth basic circuit component, the memristor, has been proposed for a long time, but it is not mentioned in the experiment teaching system of Electrical and Electronic Technology. In this paper, an RC bridge oscillation chaotic circuit based on memristor is designed to solve this problem. The dynamical behavior of the circuit system is analyzed using Lyapunov exponents spectrum, bifurcation diagram, phase portrait and Poincaré map. A series of complex dynamical behaviors such as symmetric single-scroll coexistence, asymmetrical single-scroll coexistence, symmetric double-scroll coexistence and asymmetrical limit–cycle coexistence exist in the circuit system. This research plays a critical role in enriching students’ knowledge and improving the experiment teaching system of Electrical and Electronic Technology.

show abstract

“…Since the concept of memristor was put forward by Professor Chua [7] in 1971 to the successful development of physical memristor by HP Labs [8] in 2008, memristor has been put into use in many areas like chaotic circuit [9][10][11][12], image processing [13][14][15][16][17], neural network [18][19][20][21][22][23] and non-volatile memory [24][25][26][27], etc And its bionic function provides a new idea for the study of neurodynamics. The use of memristor to describe the effect of electromagnetic induction on neuronal system can reveal the firing pattern transition and bifurcating mechanism of neuronal system under electromagnetic action [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Coexisting firing patterns and circuit design of locally active memristive autapse morris-lecar neuron

Li,

Yang,

Sun

et al. 2023

Phys. Scr.

View full text Add to dashboard Cite

A novel bistable locally active memristor is proposed in this paper. A locally active memristive autapse Morris-Lecar neuron model is constructed by using memristor to simulate the autapse of neuron. The equilibrium point and stability of the system are analyzed, and the firing mode and bifurcation characteristics of the neuronal system are revealed by using dynamic analysis methods such as slow-fastdynamics, interspike interval bifurcation diagrams, Lyapunov exponents, phase diagrams and time series diagram. By changing the memristive autapse gain and the initial state of the system, the existence of coexisting firing patterns in the constructed neuron model is confirmed. Finally, to further verify the effectiveness of the numerical simulation, the analog equivalent circuit of the locally active memristive neuron system is designed, which proves that the system is physically realizable.

show abstract

An SBT-memristor-based crossbar memory circuit*

Cited by 17 publications

References 39 publications

A memristor crossbar based on a novel ternary memristor model

A memristor crossbar based on a novel ternary memristor model

RC Bridge Oscillation Memristor Chaotic Circuit for Electrical and Electronic Technology Extended Simulation Experiment

Coexisting firing patterns and circuit design of locally active memristive autapse morris-lecar neuron

Contact Info

Product

Resources

About