Robot Simulation of Sensory Integration Dysfunction in Autism with Dynamic Neural Fields Model

This paper applies dynamic neural fields model [1,23,7] to multimodal interaction of sensory cues obtained from a mobile robot, and shows the impact of different temporal aspects of the integration to the precision of movements. We speculate that temporally uncoordinated sensory integration might be a reason for the poor motor skills of patients with autism. Accordingly, we make a simulation of orientation behavior and suggest that the results can be generalized for grasping and other movements that are performed in three dimensional space. Our experiments show that impact of temporal aspects of sensory integration on the precision of movement are concordant with behavioral studies of sensory integration dysfunction and of autism. Our simulation and the robot experiment may suggest ideas for understanding and training the motor skills of patients with sensory integration dysfunction, and autistic patients in particular, and are aimed to help design of games for behavioral training of autistic children.