突触分布记忆与突触局部记忆

Lipo Wang
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引用次数: 0

摘要

我们澄清,在人工神经网络理论中讨论的两大类无监督学习规则(竞争性学习和Hebbian学习规则)之间的唯一本质区别是,前者存在侧抑制,而后者不存在侧抑制。我们通过分析证明,与Hopfield神经网络相比,具有突触局部记忆的竞争性学习神经网络在训练模式中对噪声表现出更好的耐受性,Hopfield神经网络使用hebbian型学习规则,没有任何侧抑制,具有突触分布记忆
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synaptically distributed memory vs. synaptically localized memory
We clarify that the only essential difference between the two major "categories" of unsupervised learning rules discussed in theories of artificial neural networks-the competitive learning and the Hebbian learning rules-is that lateral inhibition is present in the former and is absent in the later. We demonstrate analytically that a competitive learning neural network, which has synaptically localized memory, shows better tolerance over noise in training patterns in comparison with the Hopfield neural network, which uses a Hebbian-type learning rule without any lateral inhibition and has synaptically distributed memory.<>
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