A neural model of binocular saccade planning and vergence control. (October 2015)

• Record Type: Journal Article
• Authors: Muhammad, Wasif; Spratling, Michael W
• Is Part Of: Adaptive behavior. Volume 23:Number 5(2015)
• Page Start: 265
• Page End: 282
• Publication Date: 2015-10
• Subjects: Basis function networks -- sensory-sensory transformations -- sensory-motor control -- saccades -- eye movements -- neural networks -- function approximation -- iCub -- vergence; Animal behavior -- Periodicals; Animals -- Adaptation -- Periodicals; Adaptability (Psychology) -- Periodicals; Adaptation, Psychological -- Periodicals; Artificial intelligence -- Periodicals; 591.5
• DOI: 10.1177/1059712315607363
• Languages: English
• ISSNs: 1741-2633

Abstract

The human visual system uses saccadic and vergence eye movements to foveate visual targets. To mimic this aspect of the biological visual system the PC/BC-DIM neural network is used as an omni-directional basis function network for learning and performing sensory-sensory and sensory-motor transformations without using any hard-coded geometric information. A hierarchical PC/BC-DIM network is used to learn a head-centred representation of visual targets by dividing the whole problem into independent subtasks. The learned head-centred representation is then used to generate saccade and vergence motor commands. The performance of the proposed system is tested using the iCub humanoid robot simulator.