An Auto-adaptive Fuzzy based Cerebellar Model Articulation Controller for eye movement

This paper presents AFCMAC, an Auto-adaptive Fuzzy Cerebellar Model Articulation Controller, and its comparison with the traditional CMAC (Cerebellar Model Articulation Controller) for horizontal voluntary eye movements. We evaluated the performance of the AFCMAC and the traditional CMAC, by using the standard deviation of binocular fixation disparity of five healthy control and five dyslexic subjects, during reading a text. The evaluation results prove a noteworthy performance of the AFCMAC compared to the traditional CMAC in terms of the number of training iterations.