Modeling of Medial Temporal Cell for Smooth Pursuit Eye Movements Using Self-Organizing Feature Map With Winner Take All

摘要

A new neural model for smooth pursuit eye movements is presented. We used the self-organizing feature map with winner take all to model the characteristics of MT (Medial Temporal) cell. With MST (Medial Superior Temporal), the MT cell executes a tuning role of motion energy to follow a slowly moving target. Computer experimental results show that the proposed model successfully generates the motion energy to follow a randomly moving target.