Physiological Neural Network for Saccadic Eye Movement Control

摘要

Based on electrophysiological evidence, eye-movement measurements and systemscontrol theory, a new physiological neural network model of horizontal saccadic control is described. The neural control mechanism is first-order, time-optimal, and is initiated by the deep layers of the superior colliculus and terminated by the cerebellar fastigial nucleus. The neural circuit consists of neurons in the paramedian pontine reticular formation, the vestibular nucleus, abducens nucleus, oculomotor nucleus, cerebellum, substantia nigra, nucleus reticularis tegmenti pontis, the thalamus, the deep layers of the superior colliculus and the oculomotor plant for each eye. Each of the neural sides in the model produce firing rates matching experimental data, and simulate fast eye movements that match the recorded.