# Simplified neuron model as a principal component analyzer

@article{Oja1982SimplifiedNM, title={Simplified neuron model as a principal component analyzer}, author={E. Oja}, journal={Journal of Mathematical Biology}, year={1982}, volume={15}, pages={267-273} }

A simple linear neuron model with constrained Hebbian-type synaptic modification is analyzed and a new class of unconstrained learning rules is derived. It is shown that the model neuron tends to extract the principal component from a stationary input vector sequence.

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