“Simplified neuron model as a principal component analyzer”
E2185145
UNEXPLORED
“Simplified neuron model as a principal component analyzer” is a seminal paper that introduces a biologically inspired learning rule showing how a single neuron can perform principal component analysis through synaptic weight adaptation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| “Simplified neuron model as a principal component analyzer” canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.