Learning in the eye movement of squirrel monkeys for object tracking

Inspired by neurobiological experiments on squirrel monkeys to measure how they learn to track objects, we investigate and validate a proposed architectural connectivity and functionality from an engineering/systems perspective. We propose a learning mechanism, which emulates the neurobiological model, and then verify it in analysis and in simulation. Microelectronic circuit architecture models are also developed to efficiently realize these models into hardware.