Dynamic feedback to the superior colliculus in a neural network model of the gaze control system

The role of the superior colliculus (SC) has been explored in the context of the gaze control system, with the conclusion that recent data place it inside the control loop calculating gaze error. A neural network proposed for the SC achieves both spatial and temporal integration of gaze signals. When placing the SC inside a gaze control loop, linear time-space transformations can be achieved even with restricted feedback on the edges of the map. The proposed gaze control model can reproduce all of the properties of previous head-fixed models. However, for the first time, a collicular mechanism is shown to provide plausible explanations for conflicting results upon electrical stimulation of rostral versus caudal sites on the colliculus, and can generate reasonable trajectories for both eye and head platforms in the head-free condition. The key assumption is the distribution of a common motor (gaze) error to the platforms contributing to the movement.

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