Neuromorphic Computing: 4th International Conference, ICNC 2025, Chengdu, China, December 1214, Revised Selected Papers

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Bol The focus of the event covered a wide range of hot topics, including neuromorphic chip design and mod eling, brain-inspired computing architectures, low-power intelligent computing, neural network algorithms and applications, human-computer interaction andneurocognitive science. This book constitutes the refereed proceedings of the 4th International Conference on Neuromorphic Computing Chengdu, China, December 12–14, 2025. The 52 papers included in these proceedings were carefully reviewed and selected from 134 submissions.ICNC 2025 aimed to establish a high-level international platform for academic exchange, promoting the development and collaboration within the advanced interdisciplinary field of neuromorphic computing. The focus of the event covered a wide range of hot topics, including neuromorphic chip design and mod eling, brain-inspired computing architectures, low-power intelligent computing, neural network algorithms and applications, human-computer interaction andneurocognitive science.

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The focus of the event covered a wide range of hot topics, including neuromorphic chip design and mod eling, brain-inspired computing architectures, low-power intelligent computing, neural network algorithms and applications, human-computer interaction andneurocognitive science. This book constitutes the refereed proceedings of the 4th International Conference on Neuromorphic Computing Chengdu, China, December 12–14, 2025. The 52 papers included in these proceedings were carefully reviewed and selected from 134 submissions.ICNC 2025 aimed to establish a high-level international platform for academic exchange, promoting the development and collaboration within the advanced interdisciplinary field of neuromorphic computing. The focus of the event covered a wide range of hot topics, including neuromorphic chip design and mod eling, brain-inspired computing architectures, low-power intelligent computing, neural network algorithms and applications, human-computer interaction andneurocognitive science.


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