Visual representation model for motion direction selectivity

Authors:
Xiaoxing Wang;Jesse S. Jin
Affiliations:
School of Information Technologies, The University of Sydney, NSW, Australia;School of Information Technologies, The University of Sydney, NSW, Australia
Venue:
VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
Year:
2003

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Abstract

In this paper we proposed a visual representation model for motion direction selectivity in the Superior Colliculus (SC) with a fuzzy neural networks system. The SC is a midbrain nucleus that contains a number of horizontally oriented cellular layers receiving and integrating information from the visual, auditory and somatosensory systems. The discharge of cells in the superficial layer of the SC is tightly linked to the direction of visual motion. The availability of a biologically plausible computational model of the SC may open the door for the modeling of cognitive interactions with visual sensory systems. We have simulated the model and the outputs are in line with those observed physiologically.