An Auto-adaptive Fuzzy based inspiration of cerebellar cortex for dyslexic ocular motor control

This paper presents a novel modeling approach for dyslexic oculomotor control, called AFCMAC, an Auto-adaptive Fuzzy CMAC (Cerebellar Model Articulation Controller). We made some comparisons between the AFCMAC and the CMAC, over the standard deviation of binocular fixation disparity of ten dyslexic subjects while reading, in two viewing distances (near and far). The evaluation results prove the promising performance of the AFCMAC, over the training time, and also, the memory requirements, while increasing the number of subjects.