ArticleCognitive neurodynamics2023
Stability analysis of fractional order memristor synapse-coupled hopfield neural network with ring structure.
Article in Cognitive neurodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 30 citations in OpenAlex.
- Collective behavior of an adapting synapse-based neuronal network with memristive effect and randomness.Cognitive neurodynamics · 2024Article
- Dynamic analysis of FN-HR neural network coupled of bistable memristor and encryption application based on Fibonacci Q-Matrix.Cognitive neurodynamics · 2024Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
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Abstract
A memristor is a nonlinear two-terminal electrical element that incorporates memory features and nanoscale properties, enabling us to design very high-density artificial neural networks. To enhance the memory property, we should use mathematical frameworks like fractional calculus, which is capable of doing so. Here, we first present a fractional-order memristor synapse-coupling Hopfield neural network on two neurons and then extend the model to a neural network with a ring structure that consists of
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