Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Representation and recognition in vision
Representation and recognition in vision
Self-Organizing Maps
Learning to see: genetic and environmental influences on visual development
Learning to see: genetic and environmental influences on visual development
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
A model of angle selectivity development in visual area V2
Neurocomputing
Object recognition by artificial cortical maps
Neural Networks
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The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and emerges as result of interactions between epigenetic in.uences and basic neural plasticity mechanisms. The model is a hierarchy of arti.cial neural maps, mainly based on the LISSOM architecture, achieving self-organization through simulated intercortical lateral connections.