(1994) Studies in Visual Information Processing : Visual and Oculomotor Functions : Advances in Eye Movement Research — ISBN: [9780444818089], p. 257-269, published
Recent experimental results show evidence for the coding of dynamic gaze error inside the deep layers of the Superior Colliculus (SC). These data are in contradiction with most gaze control models which consider gaze feedback as acting downstream from the SC. A new model of the deep SC layers, based on neural networks, is proposed to incorporate the effects of dynamic feedback on collicular activity. The model fits into a complete gaze control model, based on gaze velocity feedback to the SC. The model has been implemented and tested in terms of spatio-temporal transformations and reverse temporal-spatial mechanisms in the SC. The proposed gaze control model can reproduce all of the properties of previous head-fixed models. However, for the first time, the model can also provide plausible explanations for conflicting results upon electrical stimulation of rostral versus caudal sites on the SC, and can generate reasonable trajectories for both eye and head platforms in the head-free condition. It provides arguments to reconcile apparent contradictions in cat and monkey data. The key assumption is the distribution of a common motor (gaze) error to the platforms contributing to the movement. Simulations reproducing natural eye-head coordinated movements and electrical stimulation of the SC in head restrained condition are presented and discussed, and an hypothesis is proposed for the control of perisaccadic drifts.
Lefèvre, P., Galiana, H. L., & Roucoux, A. (1994). Neural Networks and Dynamic Feedback in the Superior Colliculus. In John M. Findlay, Robin Walker, Robert W. Kentridge (ed.), Studies in Visual Information Processing : Visual and Oculomotor Functions : Advances in Eye Movement Research (Vol 6, p. p. 257-269). Elsevier. https://doi.org/10.1016/b978-0-444-81808-9.50028-7