Machine Learning-Based Prediction Framework for Complex Neuromorphic Dynamics of Third-Order Memristive Neurons at the Edge of Chaos

As conventional computing architectures face fundamental physical limitations and the von Neumann bottleneck constrains computational efficiency, neuromorphic systems have emerged as a promising paradigm for next-generation information processing. Memristive neurons, particularly third-order circuit...

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Auteurs principaux:	Tao Luo, Lin Yan, Weiqing Liu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-12-01
Collection:	Entropy
Sujets:	memristor third-order memristive neurons edge of chaos dynamics next-generation reservoir computing neuromorphic pattern prediction partial state observability
Accès en ligne:	https://www.mdpi.com/1099-4300/28/1/42
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