A Rigorous Analysis of Linsker-type Hebbian Learning

Feng, J., Pan, H., Roychowdhury, V. P.

Neural Information Processing Systems 

His simulations have shown that for appropriate parameter regimes, several structured connection patterns (e.g., centre-surround and oriented afferent receptive fields (aRFs)) occur progressively as the Hebbian evolution of the weights is carried out layer by layer. The behavior of Linsker's model is determined by the underlying nonlinear dynamics which are parameterized by a set of parameters originating from the Hebbian rule and the arbor density of the synapses.

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