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Updated: Jul 10, 2025

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在训练深度尖端神经网络中利用非线性树突自适应计算.

Guobin Shen1, Dongcheng Zhao2, Yi Zeng3

  • 1Brain-Inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China.

Neural networks : the official journal of the International Neural Network Society
|November 21, 2023
PubMed
概括

尖端神经网络 (SNN) 现在可以更好地处理信息,使用新的树突空间门和时间调整模块. 这些模块平衡了尖峰表示,提高了基于图像和事件的数据集的性能.

关键词:
树突的非线性 树突的非线性树突空间门模块 树突空间门模块树突时调整模块的时间调整模块.尖端神经网络的神经网络.

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