Efficiency in the Generation of Hierarchical Feature Detectors in Neural Nets
Oleg G. Jakubowicz · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
Biologically in the primary visual area in the brain there is a full set of elementary feature detectors at every location in the retinal field. These detectors are akin to the two dimensional edge and bar detectors commonly used in computer vision. We present in this paper biological simulation details of how these particular detectors most probably might be neurobiologically constructed and organized into a topologically ordered output plane. Then we point out the pitfall of over-representation of information that can occur in naive self-organizing neural network models for vision and present. how our properly constructed network overcomes this problem. This paper is intended to give some productive guidelines for constructing self-organizing networks whose cells have locally receptive fields.