Toward Neuromic Computing: Neurons as Autoencoders

• URL: http://arxiv.org/abs/2403.02331v4
• Date: Thu, 25 Apr 2024 16:01:29 GMT
• Title: Toward Neuromic Computing: Neurons as Autoencoders
• Authors: Larry Bull,
• Abstract summary: This paper presents the idea that neural backpropagation is using dendritic processing to enable individual neurons to perform autoencoding. Using a very simple connection weight search and artificial neural network model, the effects of interleaving autoencoding for each neuron in a hidden layer of a feedforward network are explored.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This short paper 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.

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