Practical approach to programmable analog circuits with memristors

Abstract

We suggest an approach to use memristors (resistors with memory) in programmable analog circuits. Our idea consists in a circuit design in which low voltages are applied to memristors during their operation as analog circuit elements and high voltages are used to program the memristor's states. This way, as it was demonstrated in recent experiments, the state of memristors does not essentially change during analog mode operation. As an example of our approach, we have built several programmable analog circuits demonstrating memristor-based programming of threshold, gain and frequency.

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Cited by in corpus (39)

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• High-Precision Tuning of State for Memristive Devices by Adaptable Variation-Tolerant Algorithm
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• Solving mazes with memristors: a massively-parallel approach
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• SPICE model of memristive devices with threshold
• Stochastic memory: memory enhancement due to noise
• Bistable non-volatile elastic membrane memcapacitor exhibiting chaotic behavior
• Chaotic memristor
• Memristor Crossbar-based Hardware Implementation of IDS Method
• Metal-insulator transition and electrically-driven memristive characteristics of SmNiO3 thin films
• Complex dynamics and scale invariance of one-dimensional memristive networks
• Analog-to-Digital and Digital-to-Analog Conversion with Memristive Devices
• First order devices, hybrid memristors, and the frontiers of nonlinear circuit theory
• Dynamical attractors of memristors and their networks
• Analog simulator of integro-differential equations with classical memristors
• Teaching Memory Circuit Elements via Experiment-Based Learning
• Memristive Learning Cellular Automata: Theory and Applications
• A Reconfigurable FIR Filter with Memristor-Based Weights
• Fourier Response of a Memristor: Generation of High Harmonics with Increasing Weights
• Memristive Sisyphus circuit for clock signal generation
• A Memcomputing Pascaline
• Fast IDS Computing System Method and its Memristor Crossbar-based Hardware Implementation
• Memristor-based mono-stable oscillator
• Comment on "$\Phi$ memristor: Real memristor found" by F. Z. Wang, L. Li, L. Shi, H. Wu, and L. O. Chua [J. Appl. Phys. 125, 054504 (2019)]
• An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing the Low Power,Stochastic Brain
• Efficient neuro-fuzzy system and its Memristor Crossbar-based Hardware Implementation
• A high-performance analog Max-SAT solver and its application to Ramsey numbers
• Memristor-based Synaptic Networks and Logical Operations Using In-Situ Computing
• Memristive fuzzy edge detector
• Towards Analog Memristive Controllers
• Sinusoidal analysis of memristor bridge circuit-rectifier for low frequencies
• Circuit proposition for copying the value of a resistor into a memristive device supported by HSPICE simulation
• Minimizing energy dissipation during programming of resistive switching memory devices using their dynamical attractor states
• A Configurable Memristor-based Finite Impulse Response Filter
• Perceptron Linear Function Design with CMOS-Memristive Circuits
• Using memristor crossbar structure to implement a novel adaptive real time fuzzy modeling algorithm
• Memristive Transfer Matrices