2024
DOI: 10.1109/tcsii.2023.3318592
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Threshold Switching Memristor-Based Radial-Based Spiking Neuron Circuit for Conversion-Based Spiking Neural Networks Adversarial Attack Improvement

Zuheng Wu,
Wei Li,
Jianxun Zou
et al.
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Cited by 3 publications
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“…Introduction: Neuromorphic computing has emerged as a promising method in the quest for efficient and intelligent information processing systems [1][2][3], drawing inspiration from the intricate dynamics of biological neural systems. Memristors have garnered significant attention for their simple dual-terminal structure, reminiscent of the synapses in biological neural networks [4,5], and rich ion dynamics, which mimic neuronal behavior [6,7]. Memristors offer promising technological pathway towards simplifying the complexity of neuronal circuits, thereby paving the way for the development of high-efficiency neuromorphic systems.…”
mentioning
confidence: 99%
“…Introduction: Neuromorphic computing has emerged as a promising method in the quest for efficient and intelligent information processing systems [1][2][3], drawing inspiration from the intricate dynamics of biological neural systems. Memristors have garnered significant attention for their simple dual-terminal structure, reminiscent of the synapses in biological neural networks [4,5], and rich ion dynamics, which mimic neuronal behavior [6,7]. Memristors offer promising technological pathway towards simplifying the complexity of neuronal circuits, thereby paving the way for the development of high-efficiency neuromorphic systems.…”
mentioning
confidence: 99%