在霍普菲尔德网络中,输入驱动的动态可用于强大的内存检索

Simone Betteti1, Giacomo Baggio1, Francesco Bullo2

  • 1Department of Information Engineering, University of Padua, Padua 35131, Italy.

Science advances
|April 23, 2025
PubMed
概括

这项研究引入了一个新的霍普菲尔德模型框架,其中外部输入塑造神经突触,改善记忆检索和分类. 该模型在记忆回忆中表现出对噪声的增强强性.

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