The computational capabilities of dendrites have become increasingly clear. This letter presents the idea that neural backpropagation is using dendritic processing to enable individual neurons to perform autoencoding. Using a very simple connection weight search heuristic and artificial neural network model, the effects of interleaving autoencoding for each neuron in a hidden layer of a feedforward network are explored. This is contrasted to the standard layered approach to autoencoding. It is shown that such individualised processing is not detrimental and can improve network learning.

翻译：树突的计算能力已日益清晰。本文提出一个观点：神经反向传播利用树突处理，使单个神经元能够执行自编码功能。通过一种非常简单的连接权重搜索启发式算法和人工神经网络模型，我们探讨了在前馈网络隐藏层中对每个神经元交错进行自编码的效果，并将其与标准的分层自编码方法进行了对比。研究表明，这种个体化处理不仅无害，还能改善网络学习能力。