A neural network based model of M and P LGN cells

Abstract

A new excitatory-inhibitory neural network model for the extended classical receptive field (ECRF) of Parvo (P), and Magno (M) cells in the lateral geniculate nucleus (LGN) is proposed. The model is based upon various well-known findings in neurophysiology, anatomy and psychophysics. The top-down linking of the proposed model to the feed-forward pathways, that is able to explain the simple, yet intriguing problem of brightness perception, may have implication in developing robust visual capturing and display systems, as well as in overall accurate representation of images as has been demonstrated in recent works.