Hebbian 神经网络

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weixin_42150782

于 2018-05-07 23:30:44 发布

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文章标签：人工神经网络

本文链接：https://blog.youkuaiyun.com/weixin_42150782/article/details/80233022

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本文介绍了Hebbian神经网络的基本概念，包括其定义、训练算法和具体的学习过程。Hebbian理论提出，当神经元A和B同时激活时，它们之间的连接权重会增强。算法包括初始化权重、激活计算、权重校正的步骤，通过迭代更新直至权重稳定。

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Hebbian neural network

定义

Hebbian wiki定义如下所示：

The theory is often summarized as "Cells that fire together wire together."
This summary, however, should not be taken too literally. Hebb emphasized that cell A needs to "take part in firing" cell B, and such causality can occur only if cell A fires just before, not at the same time as, cell B. 
This important aspect of causation in Hebb's work foreshadowed what is now known about spike-timing-dependent plasticity, which requires temporal precedence.

如果A和B总是同时被触发，那么A与B的权重就会增加，但A与B不是同时发生的，通常B发生与A之后。