Linsker-type Hebbian learning: A qualitative analysis on the parameter space

Neural Networks

Volumn 10, Issue 4, 1997, Pages 705-720

  Feng, Jianfeng ^a   Pan, Hong ^b   Roychowdhury, Vwani P ^b  

^a BABRAHAM INSTITUTE   (United Kingdom)

^b Purdue University   (United States)

Author keywords

Afferent receptive field; Limited function; Linsker's developmental model; Network self organization; Ontogenesis of primary visual system; Parameter space; Synaptic arbor density; Unsupervised Hebbian learning

Indexed keywords

LINSKER-TYPE HEBBIAN LEARNING; PARAMETER SPACE; SYNAPTIC ARBOR DENSITY;

COMPUTER SIMULATION; FUNCTIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; STATE SPACE METHODS; VECTORS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; LEARNING; PRIORITY JOURNAL; RECEPTIVE FIELD;

EID: 0031171241     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(97)00020-8     Document Type: Article

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