Self-organization of orientation maps due to external stimuli in the primary visual area of the cerebral cortex is studied in a two-layered neural network which consists of formal neuron models with a sigmoidal output function. A cluster learning rule is proposed as an extended Hebbian learning rule
β¦ LIBER β¦
Differentiation and clustering in a self-organization process of model neurons
β Scribed by Hidetsugu Sakaguchi
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 422 KB
- Volume
- 98
- Category
- Article
- ISSN
- 0167-2789
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