Toward Neuromic Computing: Neurons as Autoencoders
<|reference_start|>Toward Neuromic Computing: Neurons as Autoencoders: 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.<|reference_end|>
@article{bull2024toward,
    title={Toward Neuromic Computing: Neurons as Autoencoders},
    author={Larry Bull},
    journal={arXiv preprint arXiv:2403.02331},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.02331},
    primaryClass={cs.NE}
}