Related references
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Article
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Summary: In this paper, a physical Sr0.97Ba0.03TiO3-x (SBT) memristor with voltage threshold characteristic was prepared and an adaptive voltage threshold memristor model was proposed to accurately characterize its electrical characteristics. The synaptic plasticity of SBT memristor under different pulse stimulation was analyzed. A Pavlov associative memory circuit was designed using the LTSPICE environment, which consisted of neuron and memristive synaptic circuits. The experimental results demonstrated the feasibility and applicability of SBT memristor as an electronic synapse in neuromorphic applications, providing a path for the development of artificial neural networks.
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NEURAL COMPUTING & APPLICATIONS
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
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Kun Deng et al.
Summary: Dynamic memristor-cellular neural networks replace linear resistors with flux-controlled memristors in each cell, providing the advantage of disappearing voltages, currents, and power consumption when reaching a steady state. Previous studies on stability rarely considered time delay, which has a significant impact on system stability. By extending the original system to a DM-D(delay)CNNs model and using Lyapunov method and matrix theory, new sufficient conditions for global asymptotic and exponential stability of DM-DCNNs with a known convergence rate are obtained. The results show the potential applications and advantages of DM-DCNNs in various fields.
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Summary: A self-learning logic circuit based on memristors is proposed in this paper, which can achieve various logic gates without initialization, showing flexibility and robustness in different logical operations.
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Summary: The proposed multi-functional memristive Pavlov associative memory circuit implements learning, forgetting, consolidation learning, and long-term memory formation. It also allows for generalization and differentiation of associative memory caused by similar stimuli, all while reducing the influence of parasitic capacitance, memristive conductance drift, and input noise on circuit functions. Through further research, this circuit is expected to be used in robot platforms to realize human-like perception and associative cognitive functions.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2021)
Article
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Summary: A bionic memristive circuit for emotional evolution is proposed in this work, mimicking the emotional circuit in the limbic system to perform unconscious and conscious emotional evolutions. Internal regulation uses volatile memristors for unconscious evolution, while external stimulation uses non-volatile memristors for conscious evolution.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2021)
Article
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Editorial Material
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Article
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Leimin Wang et al.
Summary: A unified framework is proposed to address the synchronization problem of memristor chaotic systems via the sliding-mode control method in this paper. The finite-time and fixed-time synchronization of MCSs can be realized simultaneously. Theoretical results are proven through mathematical proofs, and an image encryption algorithm along with its implementation process is developed to demonstrate the application of synchronization.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Engineering, Electrical & Electronic
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Summary: This paper presents a designed learning circuit capable of achieving Pavlov associative memory with dual-mode switching, considering two different learning modes and their inhibition relationship, in order to allow artificial neural networks to simulate memory situations more realistically. Dual-mode switching is essential in life and can provide more references for the practical application of memristors.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
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(2021)
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IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2021)
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2021)
Article
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